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Logisztikai folyamatok optimalizálása intelligens informatikai modellekkel és algoritmusokkal
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súgó 
nyomtatás 
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Ezen az oldalon az NKFI Elektronikus Pályázatkezelő Rendszerében nyilvánosságra hozott projektjeit tekintheti meg.
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Projekt adatai |
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| azonosító |
105529 |
| típus |
K |
| Vezető kutató |
Földesi Péter |
| magyar cím |
Logisztikai folyamatok optimalizálása intelligens informatikai modellekkel és algoritmusokkal |
| Angol cím |
Optimization of logistic processes with computational intelligece |
| magyar kulcsszavak |
logisztika; optimalizálás; informatika |
| angol kulcsszavak |
logistics; informatics; optimization |
| megadott besorolás |
| Informatika (Műszaki és Természettudományok Kollégiuma) | 100 % | | Ortelius tudományág: Informatika |
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| zsűri |
Informatikai–Villamosmérnöki |
| Kutatóhely |
Logisztikai és Szállítmányozási Tanszék (Széchenyi István Egyetem) |
| résztvevők |
Kóczy T. László
Németh Péter
Rövid András
Süle Edit
Tápler Csaba
Várlaki Péter
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| projekt kezdete |
2012-09-01 |
| projekt vége |
2016-08-31 |
| aktuális összeg (MFt) |
24.480 |
| FTE (kutatóév egyenérték) |
8.49 |
| állapot |
lezárult projekt |
magyar összefoglaló A kutatás összefoglalója, célkitűzései szakemberek számára
Itt írja le a kutatás fő célkitűzéseit a témában jártas szakember számára.
Számos számítási intelligencia módszer ismert, melyek mindegyike rendelkezik valamilyen előnyös tulajdonsággal, így a feladat, hogy ezeket rendszerezzük, és meghatározzuk, melyik milyen mértékben alkalmas logisztikai feladatok megoldására. Az eszközöket tovább kell fejleszteni, vagy az eredeti modell kiterjesztésével, vagy a feltételek, korlátozások és célok újra definiálásával. Esetenként az újrastrukturált modell új technikai elemeket is igényel, így megfelelő metodológia kifejlesztése és tesztelése válik szükségessé, hogy a hatékonyságot növelni tudjuk. Az ellátási láncok és a közúti szállítás sajátosságai arra ösztönöznek, hogy a klasszikus operációkutatási modelleket módosítsuk, elhagyva vagy enyhítve bizonyos korlátozó feltételeket, mely adott esetben viszont az eredeti feladatot akár tovább nehezítheti. A szakirodalomban fellelhető munkák elsősorban a klasszikus feladatok megoldására irányulnak, így az új megközelítések kidolgozása jelen projekt feladata.
A fuzzy operátorok approximációja jelentős számítási erőforrást igényel. A soft-computing alkalmazások a bizonytalan fuzzy értékek reprezentációjára különböző technikákat és követelményeket alkalmaznak. Ezek igazodnak a bizonytalanság természetéhez, így az alkalmazott algoritmusok sajátosságait is alaposan elemezni kell. Az evolúciós módszereket széles körben alkalmazzák, melyek alkalmasak a logisztikai folyamatok esetén gyakran előforduló diszkrét keresési tereken végrehajtott robusztus keresésekre. Ezen módszerek hatékonysága javítható a megfelelő keresési stratégia és kiértékelő függvény megválasztásával. A kiértékelő függvény esetében külön kérdés a fuzzy és valós függvények hatékonysága közti különbség.
Mi a kutatás alapkérdése?
Ebben a részben írja le röviden, hogy mi a kutatás segítségével megválaszolni kívánt probléma, mi a kutatás kiinduló hipotézise, milyen kérdéseket válaszolnak meg a kísérletek.
A cél az, hogy az optimalizálás esetében minimalizáljuk a szükséges a priori tudást. Az evolúciós algoritmusok számos beállítási paraméterrel futnak, a megfelelő beállítás az optimalizálási folyamat hatékonyságát nagy mértékben javíthatja, a szükséges számítási erőforrás (futási idő, memória) csökkenthető. Ha az algoritmus paramétereit (mint optimalizálandó értékeket) beépítjük magába az algoritmusba, akkor az evolúciós folyamat eredményeként a paraméter beállításra is eredményeket kaphatunk. Ez nem pusztán technikai, programozási kérdés, alapos elemzés után lehet feltárni és azonosítani a lehetséges és ígéretes megoldásokat. Egy másik alapkérdés, hogy feltárjuk a “kilátás elmélet” hatását az emberi döntési mechanizmusok hatékonyságára. A kérdés az, hogy a komplex ember-gép rendszerekben a “kilátás elmélet” jelenléte vajon növeli vagy csökkenti a hatékonyságot. Ennek megválaszolására alapos összehasonlító elemzések elvégzése szükséges.
Mi a kutatás jelentősége?
Röviden írja le, milyen új perspektívát nyitnak az alapkutatásban az elért eredmények, milyen társadalmi hasznosíthatóságnak teremtik meg a tudományos alapját. Mutassa be, hogy a megpályázott kutatási területen lévő hazai és a nemzetközi versenytársaihoz képest melyek az egyediségei és erősségei a pályázatának!
A logisztikai folyamatok speciális tulajdonságait figyelembe véve úgy tűnik, hogy dedikált optimalizálási elveket, stratégiákat és módszereket kell kidolgozni annak érdekében, hogy föltárjuk a gyakorlati használatra is alkalmas megoldásokat. A bakteriális memetikus algoritmusokat széles körben alkalmazzák a diszkrét kombinatorikus problémáknál, melyek igen jellemzőek a logisztikai folyamatokra. A hagyományosan használt bakteriális infekciós operátorok sok esetben távol vannak az optimális megoldástól, alternatív infekciós algoritmusok sokkal gyorsabb konvergenciát eredményezhetnek, miközben a lokális optimumban való megakadás veszélyét is csökkentik. Az NP-nehéz logisztikai problémák megoldására az egyik legígéretesebb módszer az eugenikus bakteriális memetikus algoritmus. Néhány fontos kérdés azonban még megválaszolatlan ezekkel kapcsolatban. A heurisztika memetikus része rendkívül hatékony lehet néhány esetben, de vannak olyan feladatok, amelyekben a futási idő jelentősen meghosszabbodik anélkül, hogy tényleges javulást érnénk el a fitness értékben, különösen a metrikus téren értelmezett folytonos célfüggvények esetében. Ugyanez igaz az eugenikus részre, túl sok eugenikus egyed félrevezetheti a heurisztikát. Ezek a kérdések alapos vizsgálatot igényelnek. A logisztikai folyamatok tervezéséhez és fejlesztéséhez alapvető fontosságú az egyes technikai elemek által generált teljesítmény értékelése, illetve az, hogy ezek mennyiben járulnak hozzá a vevői elégedettséghez. A technikai elemek paramétereinek javítása pénzügyi erőforrásokat igényel, de a költségvetések általában korlátosak. Így az optimalizációs cél az adott elégedettségi szint elérése minimális összes költséggel. Kano minőség modellje osztályozza a technikai színvonal és a vevői megelégedettség közötti kapcsolatokat, és rámutat hogy ezen kapcsolatok egy része nem lineáris, hanem hatványfüggvénnyel modellezhető. A vevők szubjektív kiértékelése szerint ezek a kapcsolatok ráadásul nem determinisztikusak és bizonytalanok. Ezen kívül a költségfüggvény is bizonytalan, így a döntéshozók veszteségtől való félelmét is figyelembe kell venni.
A kutatás összefoglalója, célkitűzései laikusok számára
Ebben a fejezetben írja le a kutatás fő célkitűzéseit alapműveltséggel rendelkező laikusok számára. Ez az összefoglaló a döntéshozók, a média, illetve az érdeklődők tájékoztatása szempontjából különösen fontos az NKFI Hivatal számára.
A logisztikai (közlekedési) rendszer felfogható mint az emberi, szociális, gazdasági és politikai interakciók komplex halmaza, melyben a természetszerűleg felmerülő bizonytalanságokat ez idáig a hagyományos valószínűségelméleti módszerekkel kezelték. A mostanában megjelent kutatási eredmények alapján bizonyítható, hogy a “possibility theory” sokkal rugalmasabb módszert nyújt a logisztikai elemzésekben felmerülő bizonytalan szituációk megoldására.
Az időtényező a logisztikai szolgáltatási színvonal fontos tényezőjévé vált. A vevők megelégedettségének mértéke általánosságban mondhatóan nem lineáris viselkedést mutat és még inkább, amikor az időtényező is az optimalizálás része, a szubjektív elemek nagy hatást gyakorolnak a kiértékelésre, így a lehetőség elmélet eredményeit is figyelembe kell venni a kutatásban. A kutatás másik fontos fókusza hogy feltárja az elvi különbségeket az általános optimalizálási elmélet és a konkrét logisztikai optimalizálás között, mint például a bemenő adatok természete és bizonytalansága, a célfüggvény nem linearitása, és a döntéshozó szubjektív kiértékeléséből származó egyéb hatások.
Egy vállalat tevékenységében a teljesítménymérésnek három szintje használatos. A kutatás fő célja a fontos indikátorok pontos kiszámítása olyan bemeneti adatok alapján, melyeknek előrejelzése lehetséges. A bemeneti értékek változtatásával megvizsgálható a kimeneti indikátor alakulása, így lehetővé téve az optimális megoldás keresését. Tekintetbe véve a bemeneti és a kimeneti értékek közötti komplex összefüggéseket, a kutatásunkban fuzzy mesterséges neurális hálókat alkalmazunk ezen kapcsolatok modellezésére.
| angol összefoglaló Summary of the research and its aims for experts
Describe the major aims of the research for experts.
There are many intelligent methods proposed in the literature, and each of them has its own advantage, so after classifying and evaluating them it is vital to determine their possible usability for logistic tasks. The tools must be improved either by extending the original model, or redefining the restrictions and premises. In some cases the restructured model requires new solutions in technical terms, thus adequate methodology must be developed and tested in order to improve the efficiency. The special features of supply chains encourage to modify of the classical operational research models concerning logistics eliminating or relaxing most of the original constraints, but making the problem even more complicated in some sense. Solutions in the literature are mostly devoted to the classical problems, so after redefining these models novel approaches have to be proposed.
The approximations of fuzzy arithmetic operators require relatively large computational resources. Soft computing applications set different requirements regarding the representation of fuzzy values. These requirements are based on the nature of uncertainty, and the characteristics and features of applied algorithms must be assessed as well. Evolutionary methods are widely adopted means of population based metaheuristics, which have the ability to perform robust search on a discrete problem space, which very often arises in logistic optimisation. The effectiveness of these methods can be improved by selecting appropriate search strategies and fitness function. The main focus is on the performance differences when it comes to the fuzzy and crisp versions of fitness calculations.
What is the major research question?
Describe here briefly the problem to be solved by the research, the starting hypothesis, and the questions addressed by the experiments.
The target is to minimize the required level of apriori knowledge. Evolutionary algorithms have several setting parameters, and the appropriate initial set can make the optimizing process more efficient, that is the required computational resources (run time, memory) can be reduced. By embedding the algorithm parameters into the algorithm itself an evolutionary procedure can be launched for finding the best parameter settings. This task is not merely a question of heuristic techniques, thorough investigation must be done in order to explore and identify the prospective solutions. Another crucial point is to explore the affect of prospect theory and loss aversion on the efficiency of human beings’ decision. The question is, whether in complex human-machine systems the presence of prospect theory would be beneficial or not. Comparative investigations and tests must be carried out to answer these questions.
What is the significance of the research?
Describe the new perspectives opened by the results achieved, including the scientific basics of potential societal applications. Please describe the unique strengths of your proposal in comparison to your domestic and international competitors in the given field.
Considering the special features of logistic processes, it seems to be necessary to develop dedicated optimising principles, strategies, techniques and tools in order to explore methods that provide appropriate means for practical use. Bacterial memetic algorithms are widely used on discrete combinatorial problems, which are essential in the field of logistics and forwarding. The traditional bacterial infection operator is proven to be far from optimal. Alternative infection algorithms can have superior rate of convergence while reducing the risk of getting stuck in a local optimum. For the solution of the NP-hard logistic problems one of the most promising methods is the eugenic bacterial memetic algorithm. Some crucial questions still have to be answered. The memetic part of the heuristic can be very efficient in some cases, but there are several types of tasks where the run time can be significantly longer without actual improvement of the fitness value, especially in case of continuous objective functions in metric spaces. The same holds for the eugenic features, too many eugenic individuals can mislead the heuristic. These questions have to be thoroughly investigated. For designing and developing logistic processes and outputs it is vital to know the relevancy of the performance generated by each technical attribute and how they can increase customer satisfaction. Improving the parameters of technical attributes requires financial resources, but the budget is usually limited. Thus the optimalisation goal can be achieving the minimum overall cost for a given satisfaction level. Kano’s quality model classifies the relationships between customer satisfaction and attribute-level performance and indicates that some of the attributes have a non-linear relationship to satisfaction instead of a linear one, rather a power-function should be used. For the customers’ subjective evaluation these relationships are not deterministic and are uncertain in addition. Also the cost function is uncertain, where the loss aversion of decision makers should be considered as well.
Summary and aims of the research for the public
Describe here the major aims of the research for an audience with average background information. This summary is especially important for NRDI Office in order to inform decision-makers, media, and others.
Logistic (transportation) systems may be viewed as sets of complex human, social, economic, and political interactions, where for handling the obvious uncertainty traditionally probability theory has been used by present. On the basis of evidence presented by recent research results possibility theory offers a more flexible way of handling the uncertain situations that often arise in logistic (transportation) analysis. Time has become an important factor of logistics service level. The satisfaction of customers has – in general terms - nonlinear characteristics, moreover, when time is included in the optimization, subjective elements have a significant effect on evaluation, so prospect theory must be involved in the research.
Another focus of the research is to identify the principal difference between the general optimization theory and logistic optimization, such as the nature and uncertainty of input data, the nonlinear behaviour of the objective functions, and also the side-effects of the decision-makers’ subjective assessment.
There are three levels of performance measurement at a company. The main area of use should be the prediction of important indicators based on inputs that can be forecasted or guessed. With the altering of those inputs an optimal solution for the fulfilment of the indicator can be chosen. Based on the complex and interrelated connection between the inputs and outputs in logistic systems the intention of the present project is to use fuzzy artificial neural networks as a computational model for establishing connections among strategic and operational level indicators.
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Közleményjegyzék |
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| A Buruzs; M F Hatwágner; L T Kóczy: Modeling Integrated Sustainable Waste Management Systems using Fuzzy Cognitive Maps and Systems of Systems Concepts, Paper 87, Ninth International Conference on Engineering Computational Technology, 2-5 September 2014, Naples, Italy, 2014 | | D Susniene; A Torma; A Buruzs; M F Hatwágner; L T Kóczy: Developing a new method to model the causal relationships in stakeholder management at companies by using Fuzzy Cognitive Map Approach, pp. 211-215, 6th Győr Symposium and 3rd Hungarian-Polish and 1st Hungarian-Romanian Joint Conference on Computational Intelligence, 15-17 September 2014, Győr, Hungary, 2014 | | F Lilik; L T Kóczy: Fuzzy Handling of the Effects of Noise and Insertion Loss, pp. 205-210, 6th Győr Symposium and 3rd Hungarian-Polish and 1st Hungarian-Romanian Joint Conference on Computational Intelligence, 15-17 September 2014, Győr, Hungary, 2014 | | A Buruzs; M F Hatwágner; L T Kóczy: Studies on the sustainablility of integrated waste management systems, pp. 201-204, 6th Győr Symposium and 3rd Hungarian-Polish and 1st Hungarian-Romanian Joint Conference on Computational Intelligence, 15-17 September 2014, Győr, Hungary, 2014 | | Á Bukovics; I Á Harmati; L T Kóczy: Decision Support Based on the Evaluation of Residential Buildings, pp. 195-200, 6th Győr Symposium and 3rd Hungarian-Polish and 1st Hungarian-Romanian Joint Conference on Computational Intelligence, 15-17 September 2014, Győr, Hungary, 2014 | | I Á Harmati; Á Bukovics; L T Kóczy: Sensitivity Analysis of Fuzzy Signetures, pp. 173-178, 6th Győr Symposium and 3rd Hungarian-Polish and 1st Hungarian-Romanian Joint Conference on Computational Intelligence, 15-17 September 2014, Győr, Hungary, 2014 | | G I Molnárka; L T Kóczy: Fuzzy Signature State Machine-based Building Refurbishment Chain Optimization, pp. 167-172, 6th Győr Symposium and 3rd Hungarian-Polish and 1st Hungarian-Romanian Joint Conference on Computational Intelligence, 15-17 September 2014, Győr, Hungary, 2014 | | G Molnárka, L T Kóczy: Optimizing Complex Building Renovation Process with Fuzzy Signature State Machines, pp. 573-584, C. K. Loo et. al. (Eds.): ICONIP 2014, Part II, LNCS 8835, 2014 | | M F Hatwágner, A Buruzs, P Földesi, L T Kóczy: Strategic Decision Support in Waste Management Systems by State Reduction in FCM Models, pp. 447-457, C. K. Loo et. al. (Eds.): ICONIP 2014, Part II, LNCS 8835, 2014 | | M F Hatwágner, A Buruzs, P Földesi, L T Kóczy: A New State Reduction Approach for Fuzzy Cognitive Map With Case Studies for Waste Management Systems, pp. 119-127, S Phon-Amnuaisuk, T W Au (Eds.): Computational Intelligence in Information Systems, AISC 331, 2014 | | G Molnárka, L T Kóczy: Building Renovation Cost Optimization with the Support of Fuzzy Signature State Machines, pp. 129-138, S Phon-Amnuaisuk, T W Au (Eds.): Computational Intelligence in Information Systems, AISC 331, 2014 | | I Harmati, Á Bukovics, L T Kóczy: Sensitivity Analysis of Fuzzy Signatures Using Minkowski's Inequality, pp. 587-596, 18th Asia Pacific Symp. on Intell. & Evol. Systems – Vol. 1., Proceedings in Adaptation, Learning and Optimization 1, pp. 587-596 IES 2014, 10-12 November, 2014 | | F Lilik, L T Kóczy: Hierarchical, Fuzzy Based Performance Evaluation in Telecommunications Access Networks, Paper 41, HNICEM-ISCIII 2014, 12-16 November 2014, Puerto Princesa, Philippines, 2014 | | A Buruzs, M F Hatwágner, P Földesi, L T Kóczy: Fuzzy Cognitive Maps Applied in Integrated Waste Management Systems, Paper 63, HNICEM-ISCIII 2014, 12-16 November 2014, Puerto Princesa, Philippines, 2014 | | A Buruzs, M F Hatwágner, A Torma, L T Kóczy: Expert Based System Design for Integrated Waste Management, World Academy of Science, Engineering and Technology, Int. Journal of Environmental, Ecological, Geological and Mining Engineering 8: (12) 707-715, 2014 | | A Buruzs; L T Kóczy; M F Hatwágner: Using Fuzzy Cognitive Maps approach to identify integrated waste management system characteristics, pp. 141-147, CogInfoCom 2014, November 5-7, 2014 Vietri sul Mare, Italy, 2014 | | D Susniene; A Torma; A Buruzs; M F Hatwágner; L T Kóczy: Using Fuzzy Cognitive Map Approach to model the casual relationships in stakeholder management at companies, pp. 121-124, CogInfoCom 2014, November 5-7, 2014 Vietri sul Mare, Italy, 2014 | | A Buruzs, M F Hatwágner, L T Kóczy: Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map, pp. 111-137, Q. Zhu and A T Azar (Eds.) Complex System Modelling and Control Through Intelligent Soft Computations, Studies in Fuzziness and Soft Computing 319, 2015 | | A Buruzs; M F Hatwágner; P Földesi; L T Kóczy: Evaluation of Waste Management Systems Using Fuzzy Cognitive Maps and Optimization, pp. 1324-1329, 10th Asian Control Conference (ASCC 2015), 31st May – 3rd June 2015, Kota Kinabalu, 2015 | | G Molnárka, L T Kóczy, Sz Kovács: Evaluating the life quality of the built environment by FRI method, FUZZ-IEEE 2015, August 2-5, Istanbul, Turkey, F-15340, 2015 | | M F Hatwágner, L T Kóczy: Parameterization and concept optimization of FCM models, Proc. of FUZZ-IEEE 2015, August 2-5, Istanbul, Turkey, F-15140, 2015 | | A Tormási, L T Kóczy: Rule-Base Parameter Optimization for a Multi-Stroke Fuzzy-Based Character Recognizer, pp. 1331-1337, Proc. of IFSA-EUSFLAT 2015, 06.30-07.03. Gijón, Spain, 2015 | | M F Hatwágner; A Torma; L T Kóczy: Parameter depence of Fuzzy Cognitive Maps’ behaviour, pp. 2319-2324, Proc. of 10th Asian Control Conference (ASCC 2015), 05.31-06.03. Kota Kinabalu, Malaysia, 2015 | | A Tormási, L T Kóczy: Meta-Heuristic Optimization of a Fuzzy Character Recognizer, pp. 227-244, Fifty Years of Fuzzy Logic and its Applications, Studies in Fuzziness and Soft Computing, Vol. 326, Springer, 2015 | | I Polt; L T Kóczy: Modelling warehouse layouts based on Fuzzy Situational Maps, pp. 7-13, Proc. of the 6th Győr Symposium and 3rd Hungarian-Polish and 1st Hungarian-Romanian Joint Conference on Computational Intelligence, 09.15-17. 2014, Győr, 2014 | | Á Ballagi; C Pozna; L T Kóczy: The internal relations of fuzzy situational map nodes, pp. 141-146, Proc. of the 6th Győr Symposium and 3rd Hungarian-Polish and 1st Hungarian-Romanian Joint Conference on Computational Intelligence, 09.15-17. 2014, Győr, 2014 | | M F Hatwágner; L T Kóczy: Possible manners of Fuzzy Cognitive Maps’ state reduction, pp. 153-160, Proc. of the 6th Győr Symposium and 3rd Hungarian-Polish and 1st Hungarian-Romanian Joint Conference on Computational Intelligence, 09.15-17. 2014, Győr, 2014 | | A Tormási; L T Kóczy: Identification of the initial rule-base of a multi-stroke fuzzy-based character recognition method with meta-heuristi techniques, pp.103-115, Technical Transactions, Automatic Control, 4-AC/2013, 2014 | | Á Ballagi; L T Kóczy: Robot path planning map pre-optimization by multilayer fuzzy situational maps, pp. 65-75, Technical Transactions, Automatic Control, 4-AC/2013, 2014 | | A Buruzs; M F Hatwágner; L T Kóczy: Modeling integrated sustainable waste management systems by fuzzy cognitive maps and the system of systems concept, pp. 93-110, Technical Transactions, Automatic Control, 3-AC/2013, 2014 | | F Lilik; P Simonyi; L T Kóczy: Computational intelligence in performance evaluation and fault prognosis in telecommunication access networks, pp. 99-118, Technical Transactions, Automatic Control, 2-AC/2013, 2014 | | A Tormási; L T Kóczy: Concept and development of a fuzzy-based multi-stroke character recognizer, pp. 13-22, Technical Transactions, Automatic Control, 2-AC/2013, 2014 | | F Lilik, Sz Nagy, L T Kóczy: A Wavelet Transform Based Study on the Representativeness of Preselected Frequency Points of the Insertion Loss Function in Fuzzy Performance Evaluation of Access Network Links, Acta Technica Jaurinensis 8: (3) pp. 267-279, 2015 | | A Torma; M F Hatwágner; D Susniene; D Zostautiené; L T Kóczy: Simulation of Casual Relations of Stakeholder Management System by Using Fuzzy Cognitive Map Approach - a Comparison of Hungarian and Lithuanian Attitudes, PROCEDIA COMPUTER SCIENCE 65: pp. 880-890, 2015 | | Á Ballagi; G Rózsa; L T Kóczy: Fuzzy Signature Based Description of Complex Overtaking and Engagement Conflicts in Railway Traffic Control, AFRICON 2015, September 14-17, 2015 Addis-Abeba, Ethiopia P-161, 2015 | | F Lilik; Sz Nagy; L T Kóczy: Wavelet Based Fuzzy Rule Bases in Pre-qualification of Access Networs’ Wire Pairs, AFRICON 2015, September 14-17, 2015 Addis-Abeba, Ethiopia P-52, 2015 | | F Lilik; Sz Nagy; L T Kóczy: Simplification of Inference Problems Based on High Dimensional Vectors by Wavelet Transformation and Fuzzy Rule Interpolation, ESCIM 2015, 7-10 October 2015, Cádiz, Spain pp. 218-223, 2015 | | M F Hatwágner; A Buruzs; L T Kóczy: State reduction methods for Fuzzy Cognitive Map to model regional waste management systems, ESCIM 2015, 7-10 October 2015, Cádiz, Spain pp. 224-232, 2015 | | A Tormási; B Szi; P Földesi; D Zibriczky; L T Kóczy: Possible Applications of Fuzzy Relational Calculus for Some General Problems of Recommender Systems, ESCIM 2015, 7-10 October 2015, Cádiz, Spain pp. 239-249, 2015 | | A Buruzs; L T Kóczy; M F Hatwágner: Scenarios in Waste Management by Fuzzy Cognitive Map Simulations, CITCEP 2015, 18-20 December 2015, Kraków, Poland pp. 262-265, 2015 | | I Á Harmati; L T Kóczy: On the Sensitivity of a Special Class of Type-2 Fuzzy Signatures, CITCEP 2015, 18-20 December 2015, Kraków, Poland pp. 219-224, 2015 | | L T Kóczy; P Földesi; B Tüű-Szabó: A Discrete Bacterial Memetic Evolutionary Algorithm for the Traveling Salesman Problem, CITCEP 2015, 18-20 December 2015, Kraków, Poland pp. 57-63, 2015 | | M F Hatwágner; A Buruzs; A Torma; L T Kóczy: Introduction of Modeling Complex Management Systems using Fuzzy Cognitive Map, ICIT 2015, 12-15 May 2015, Amman, Jordan, pp. 508-514, 2015 | | I Á Harmati; L T Kóczy: On the Sensitivity of the Weighted Relevance Aggregation Operator and Its Application to Fuzzy Signatures, J P Carvalho et al. (Eds.) IPMU 2016, June 20-24, Eindhoven, The Netherlands, Springer, pp. 798-808, 2016 | | I Á Harmati; Á Bukovics; L T Kóczy: Minkowski’s Inequality Based Sensitivity Analysis of Fuzzy Signatures, JAISCR 6: (4) 219-229, 2016, 2016 | | I Á Harmati; L T Kóczy: On the Sensitivity of Type-2 Fuzzy Signatures and the Generalizations of the Extension Principle, IEEE WCCI 2016, 25-29 July 2016, Vancouver, Canada pp. 1301-1307 (F-16489), 2016 | | L T Kóczy; P Földesi; B Tüű-Szabó: A Discrete Bacterial Memetic Evolutionary Algorithm for the Traveling Salesman Problem, IEEE WCCI 2016, 25-29 July 2016, Vancouver, Canada pp. 3261-3267 (E-16672), 2016 | | P Németh, T B Ladinig, B Ferenczi: Use of Artificial Neural Networks in the Production COntrol of Small Batch Production, WORLDCOMP'2016 / ICAI'16, July 25-26, Las Vegas, USA, 2016 | | G Pósfai; G Magyar; L T Kóczy: IDF-Social: an Information Diffusion-Based Fuzzy Model for Social Recommender Systems, CITCEP 2015, 18-20 December 2015, Kraków, Poland pp. 106-112, 2015 | | Á Bukovics; I Á Harmati; L T Kóczy: Tackling Uncertainties in the Assessment of the Load Bearing Structural Condition of Residential Buildings, CITCEP 2015, 18-20 December 2015, Kraków, Poland pp. 281-285, 2015 | | Á Bukovics; I Á Harmati; L T Kóczy: Modelling the Uncertainty in the Condition Assessment of Residential Buildings, ESCIM 2015, 7-10 October 2015, Cádiz, Spain pp. 115-120, 2015 | | G I Molnárka; M F Hatwágner; L T Kóczy: Application of Fuzzy Signature State Machines in Renovation Process of Residential Blocks for Supporting Cost Optimization, ESCIM 2015, 7-10 October 2015, Cádiz, Spain pp. 101-108, 2015 | | P Németh; T B Ladinig: Development of Production Control in Small Batch Production, ICTTE 2016, 6-10 July, Switzerland, 2016 | | Gál L; Lovassy R; Kóczy LT: Non-Parametric and Parametric t-norms Applied in Fuzzy Rule Extraction, pp. 299-302 in IEEE 9th Int. Conf. on Computer Cybernetics (ICCC 2013), 2013 | | Balázs K; Kóczy LT: Adaptive Scheduling of Optimization Algorithms in the Construction of Interpolative Fuzzy Systems, F-1525 in IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 2013), 2013 | | Dányádi Zs; Földesi P; Kóczy LT: Solution of a Fuzzy Resource Allocation Problem by Various Evolutionary Approaches, pp. 807-812 in IFSA 2013 World Congress, 2013 | | Balázs K; Kóczy LT: Constructing Dense Fuzzy Systems by Adaptive Scheduling of Optimization Algorithms, pp. 280-285 in IFSA 2013 World Congress, 2013 | | Buruzs A; Hatwágner M; Pozna C; Kóczy LT: Advanced Learning of Fuzzy Cognitive Maps of Waste Management by Bacterial Algorithm, pp. 890-895 in IFSA 2013 World Congress, 2013 | | Tormási A; Kóczy LT: Improved Fuzzy-Based Single-Stroke Character Recognizer, pp. 430-435 in IFSA 2013 World Congress, 2013 | | Ballagi Á; Pozna C; Földesi P; Kóczy LT: Fuzzy Situational Maps: a New Approach in Mobile Robot Cooperation, pp. 287-292 in IEEE 17th Intern. Conf. on Intelligent Engineering Systems, INES 2013, 2013 | | Csapó Á; Baranyi P; Várlaki P: Identification of Complex Systems through Reduced Paths Using the Spiral Discovery Method, pp. 91-96 in IEEE 17th Intern. Conf. on Intelligent Engineering Systems, INES 2013, 2013 | | Fülöp IM; Csapó Á; Baranyi P; Várlaki P: An Ontology-Based Approach to the Automated Triggering of CogInfoCom Messages, pp. 85-89 in IEEE 17th Intern. Conf. on Intelligent Engineering Systems, INES 2013, 2013 | | Tormási A; Kóczy LT: Dynamic Fuzzy Rule Weight Optimization for a Fuzzy Based Single-Stroke Character Recognizer, pp. 119-124 in IEEE 17th Intern. Conf. on Intelligent Engineering Systems, INES 2013, 2013 | | Rövid A; Várlaki P: Models and Applications of Cooperated Analytical and Heuristical Approaches in a HOSVD-Based Framework, pp. 147-151 in 6th Annual International Conference on Computer Games, Multimedia and Allied Technology (CGAT 2013), 2013 | | Balázs K; Soproni PB; Kóczy LT: Improving System Reliability in Optical Networks by Failure Localizaton Using Evolutionary Optimization, pp. 394-399 in 7th Annual IEEE Intern. Systems Conference (SysCon 2013), 2013 | | Földesi P; Botzheim J: Computational Method for Corrective Mechanism of Cognitive Decision-Making Biases, pp. 211-215 in 3rd EEE International Conference on Cognitive Infocommunications, 2012 | | Baranyi P; Galambos P; Csapó Á; Várlaki P: Stabilizaton and Synchronization of Dynamicons through CogInfoCom Channels, pp. 33-36 in 3rd EEE International Conference on Cognitive Infocommunications, 2012 | | Csapó Á; Baranyi P; Várlaki P: A Taxonomy of CogInfoCom Trigger Types in Practical Use Cases, pp. 21-25 in 3rd EEE International Conference on Cognitive Infocommunications, 2012 | | Dányádi Zs; Földesi P; Kóczy LT: Fuzzy Search Space for Correction of Cognitive Biases in Constructing Mathematical Models, pp. 585-589 in 3rd EEE International Conference on Cognitive Infocommunications, 2012 | | Tormási A; Kóczy LT: Improving the Accuracy of a Fuzzy-Based Single-Stroke Character Recognizer by Antecedent Weighting, pp. 172-178 in 2nd World Conference on Soft Computing,, 2012 | | Balázs K; Horváth Z; Kóczy LT: Multi-Threaded Bacterial Iterated Greedy Heuristics for the Permutation Flow Shop Problem, pp. 63-66 in 13th IEEE Intern. Symposium on Computational Intelligence and Informatics (CINTI), 2012 | | Balázs K; Kóczy LT: New Parameterizable Search Space Narrowing Technique for Adjusting between Accuracy and Interpretability in Fuzzy Systems, pp. 323-328 in 13th IEEE Intern. Symposium on Computational Intelligence and Informatics (CINTI), 2012 | | Gál L; Lovassy R; Kóczy LT: Progressive Bacterial Algorithm, pp. 317-322 in 13th IEEE Intern. Symposium on Computational Intelligence and Informatics (CINTI), 2012 | | Balázs K; Kóczy LT: Flat and Hierarchical Fuzzy System Construction by Evolutionary Optimization Approaches, pp. 82-88 in Fifth Győr Symposium and First Hungarian-Polish Joint Conference on Computational Intelligence, 2012 | | Gál L; Lovassy R; Kóczy LT: Hamacher t-norm Proposed in Fuzzy Rule Extraction, pp. 76-80 in Fifth Győr Symposium and First Hungarian-Polish Joint Conference on Computational Intelligence, 2012 | | Németh P; Antreter F: The effect of human factors on production performance in car body manufacturing, 043-1396 paper in Proceedings of the 24th Annual Conference of the Production and Operations Management Society, 2013 | | Németh P; Antreter F: Predicting Defects in Car Body Panel Manufacturing with Artificial Neural Network, pp. 21-26 in IABE-2013 Conference Proceedings, Volume 13, Number 2, 2013 | | Csaba Tapler: Analysis of the application of different production and material flow mechanisms on construction sites, Int. Conf. On Computational Science and Computational Intelligence, CSCI’2014, USA, 2014 | | Péter Németh: Application possibilities of artificial neural networks in the construction industry, Int. Conf. On Computational Science and Computational Intelligence, CSCI’2014, USA, 2014 | | J Botzheim, P Földesi: Novel calculation of fuzzy exponent in the sigmoid functions for fuzzy neural networks, Neurocomputing 129: 458-466, 2014 | | A Buruzs; R C Pozna; L T Kóczy: Developing Fuzzy Cognitive Maps for Modeling Regional Waste Management Systems, The Third Intern. Conf. on Soft Computing Technology in Civil, Structural and Environmental Engineering, Italy, P-19, 2013 | | F Lilik; L T Kóczy: Performance Evaluation of Wire Pairs in Telecommunications Networks by Fuzzy and Evolutionary Models, AFRICON 2013, Mauritius, pp. 712-716, 2013 | | K Balázs; L T Kóczy: A Stochastic Model for Analyzing the Interpretability-Accuracy Trade-off in Interpretable Fuzzy Systems Using Nested Hyperball Structures, 8th Conference of the EUSFLAT, Milano, Italy, pp. 72-79, 2013 | | Á Bukovics, L T Kóczy: Modeling the Condition of Buildings by Real Fuzzy Sets, 39th IAHS World Congress on Housing Science, Milano, Italy, September 17-20, 2013 pp. 817-824, 2013 | | A Buruzs; M F Hatwágner; L T Kóczy: Modeling integrated sustainable waste management systems by fuzzy cognitive maps and the Systems of Systems concept, International Congress on Control and Information Processing 2013 (ICCIP’13), Cracow, Poland p.6, 2013 | | A Tormási; L T Kóczy: Rule-base optimization of a multi-stroke fuzzy-based character recognition method with meta-heuristic techniques, International Congress on Control and Information Processing 2013 (ICCIP’13), Cracow, Poland, 7-8 December 2013, p. 10, 2013 | | I Polt; L T Kóczy: Optimisation of warehouse layout based on multiple parameters, International Congress on Control and Information Processing 2013 (ICCIP’13), Cracow, Poland, 7-8 December 2013, p. 9, 2013 | | G I Molnárka; A Koppány; L T Kóczy: Application of fuzzy state machine in urban-type residential house refurbishment procedure, International Congress on Control and Information Processing 2013 (ICCIP’13), Cracow, Poland, 7-8 December 2013, p. 10, 2013 | | F Lilik; P Simonyi; L T Kóczy: A novel proactive method of improving the service level of ADSL connections, International Congress on Control and Information Processing 2013 (ICCIP’13), Cracow, Poland, 7-8 December 2013, p. 9, 2013 | | L Gál;R Lovassy; L T Kóczy: Bacterial algorithms applied for efficient fuzzy rule base identification, International Congress on Control and Information Processing 2013 (ICCIP’13), Cracow, Poland, 7-8 December 2013, p. 10, 2013 | | A Ballagi; L T Kóczy: Path planning pre-optimization by fuzzy situational maps, International Congress on Control and Information Processing 2013 (ICCIP’13), Cracow, Poland, 7-8 December 2013, p. 7, 2013 | | L Gál; R Lovassy; I J Rudas; L T Kóczy: Learning the optimal parameter of the Hamacher t-norm applied for fuzzy-rule-based model extraction, Neural Comput & Applic 24: 133-142, 2014 | | B Kalmár; A Kalmár; K Balázs; L T Kóczy: Construction Site Layout and Building Material Distribution Planning Using Hybrid Algorithms, L T Kóczy; C R Pozna; J Kacprzyk (Eds.): Issues and Challenges of Intelligent Systems and Computational Intelligence, SCI 530, Springer, 2014 pp. 75-88, 2014 | | A Tormási; L T Kóczy: Fuzzy Single-Stroke Character Recognizer with Various Rectangle Fuzzy Grids, L T Kóczy; C R Pozna; J Kacprzyk (Eds.): Issues and Challenges of Intelligent Systems and Computational Intelligence, SCI 530, Springer, 2014 pp. 145-159, 2014 | | F Lilik; L T Kóczy: The Determination of the Bitrate on Twisted Pairs by Mamdani Inference Method, L T Kóczy; C R Pozna; J Kacprzyk (Eds.): Issues and Challenges of Intelligent Systems and Computational Intelligence, SCI 530, Springer, 2014 pp. 59-74, 2014 | | Á Bukovics; L T Kóczy: Evaluating Condition of Building by Applying Fuzzy Signatures and R-Fuzzy Operations, L T Kóczy; C R Pozna; J Kacprzyk (Eds.): Issues and Challenges of Intelligent Systems and Computational Intelligence, SCI 530, Springer, 2014 pp. 45-57, 2014 | | Á Ballagi; L T Kóczy; C Pozna: Intelligent Robot Cooperation with Fuzzy Communication, L T Kóczy; C R Pozna; J Kacprzyk (Eds.): Issues and Challenges of Intelligent Systems and Computational Intelligence, SCI 530, Springer, 2014 pp. 185-197, 2014 | | L T Kóczy; C R Pozna; J Kacprzyk (Eds.): Issues and Challenges of Intelligent Systems and Computational Intelligence, Studies in Computation Intelligence (SCI) 530, Springer, 2014 | | A Tormási; L T Kóczy: Comparing the Properties of Meta Heuristic Optimization Techniques with Various Parameters on a Fuzzy Rule Based Classifier, 4th World Conference on Soft Computing, Berkeley, California, May 25-27, 2014 pp 45-50, 2014 | | L T Kóczy: A Note on Hamacher-Operators, J Fodor and R Fullér (Eds.): Advances in Soft Computing, Intelligent Robotics and Control, Springer, pp. 159-163., 2014 | | G I Molnárka; Sz Kovács; L T Kóczy: Fuzzy Rule Interpolation Based Fuzzy Signature Structure in Building Condition Evaluation, IEEE WCCI World Congress on Computational Intelligence, 2014 FUZZ-IEEE Intern. Conference, Beijing, China, F-14535, 2014 | | Á Ballagi; C R Pozna; L T Kóczy: A New Fuzzy Graph and Signature Based Approach to Describe Fuzzy Situational Maps, IEEE WCCI World Congress on Computational Intelligence, 2014 FUZZ-IEEE Intern. Conference, Beijing, China, F-14501, 2014 | | I Á Harmati; Á Bukovics; L T Kóczy: Sensitivity Analysis of the Weighted Generalized Mean Aggregation Operator and its Application to Fuzzy Signatures, IEEE WCCI World Congress on Computational Intelligence, 2014 FUZZ-IEEE Intern. Conference, Beijing, China, F-14438, 2014 | | C R Pozna; R-E Precup; P Földesi; L T Kóczy: On the Development of Signatures for Artificial Intelligence Applications, IEEE WCCI World Congress on Computational Intelligence, 2014 FUZZ-IEEE Intern. Conference, Beijing, China, F-14172, 2014 | | G I Molnárka; L T Kóczy: Fuzzy State Machine-based Refurbishment Protocol for Urban Residential Buildings, Proceedings of the IPMU’2014 Conference, July 15-19, Montpellier, France 2014 pp. 375-384, 2014 | | A Buruzs, M F Hatwágner; L T Kóczy: Fuzzy Cognitive Maps and Bacterial Evolutionary Algorithm Approach to Integrated Waste Management Systems, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 18: (4) pp. 538-548, 2014 | | Tapler Cs: Performance analyis of logistic processes in construction industry, pp. 515-527, 13th Intern. Academic Conference, Antibes, 2014 | | Németh P: Artificial intelligence as a decision support tool in supply chains, p. 5, XII. Intern. Logistics and Supply Chain Congress, 2014 | | Á Bukovics; I Á Harmati; L T Kóczy: Sensitivity and Validity of the Fuzzy Signature Based Evaluation of Residential Building Conditions, Paper 96, Ninth International Conference on Engineering Computational Technology, 2-5 September 2014, Naples, Italy, 2014 | | G I Molnárka; L T Kóczy: Fuzzy Signature Structure-Based Finite-State Machines in a Residential Building Renovation Procedure, Paper 95, Ninth International Conference on Engineering Computational Technology, 2-5 September 2014, Naples, Italy, 2014 |
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