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Modeling integrated sustainable waste management systems by fuzzy cognitive maps and the system of systems concept

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
PL
Modelowanie zintegrowanych zrównoważonych systemów gospodarowania odpadami za pomocą rozmytych map poznawczych oraz koncepcji systemu systemów
Języki publikacji
EN
Abstrakty
EN
This paper describes the problems relating to the complexity of modern waste management systems. We present a new approach to selecting a better waste management solution. For a large and complex system it is extremely difficult to describe the entire system by a precise mathematical model. Therefore, we propose the use of Fuzzy Cognitive Maps (FCM), its combination with the Bacterial Evolutionary Algorithm (BEA) and the system of systems approach to support the planning and decision making process of integrated systems.
PL
W niniejszym artykule opisano problemy związane ze złożonością nowoczesnych systemów gospodarowania odpadami. Przedstawiono nowe podejście pozwalające na wybór lepszego rozwiązania gospodarki odpadami. W przypadku dużego i złożonego systemu, opisanie całego systemu za pomocą dokładnego modelu matematycznego przysparza ogromnych trudności. Stąd, w artykule zaproponowano użycie rozmytych map poznawczych oraz ich połączenia z bakteryjnymi algorytmami ewolucyjnymi, a także ujęcie systemu systemów w celu wspomagania procesu planowania i podejmowania decyzji w zintegrowanych systemach gospodarki odpadami.
Rocznik
Strony
93--110
Opis fizyczny
Bibliogr. 52 poz., tab., wz., wykr., rys.
Twórcy
autor
  • Department of Environmental Engineering, Faculty of Engineering, Széchenyi István University, Györ
  • Department of Information Technology, Faculty of Engineering, Széchenyi István University, Györ
autor
  • Department of Automation, Faculty of Engineering Sciences, Széchenyi István University Györ
  • Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics
Bibliografia
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  • [30] Botzheim J., Cabrita C., Kóczy L.T., Ruano A.E., Fuzzy Rule Extraction by Bacterial Memetic Algorithms, International J. of Intelligent Systems, Vol. 24, 2009, 312-339.
  • [31] Gál L., Kóczy L.T., Advanced Bacterial Memetic Algorithms, Acta Technica Jaurinensis, Series Intelligentia Computatorica, Vol. 1, No. 3, 2008, 225-243.
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  • [33] Gál L., Botzheim J., Kóczy L.T., Modified Bacterial Memetic Algorithm used for Fuzzy Rule Base Extraction, CSTST’08 Proc. of the 5th international conference on Soft computing as transdisciplinary science and technology, ACM, NY, USA, 2008, 425-431.
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  • [36] Buruzs A., Hatwágner M.F., Pozna R.C., Kóczy L.T., Advanced Learning of Fuzzy Cognitive Maps of Waste Management by Bacterial Algorithm, IFSA World Congress and NAFIPS Annual Meeting, IEEE, 2013, 890-895.
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  • [38] Hatwágner F.M., Horvath A., Parallel Gene Transfer Operations for the Bacterial Evolutionary Algorithm, Acta Technica Jaurinensis, Vol. 4, No. 1, 2011, 89-112.
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  • [45] Shmeleva S.E., Powell J.R., Ecological–economic Modelling for Strategic Regional Waste Management System, J. of Ecological Economics, 59, 2006, 115-130.
  • [46] Hung, M.-L., Ma, H.-W., Yang W.-F., A Novel Sustainable Decision Making Model for Municipal Solid Waste Management, J. of Waste Management, Vol. 27, 2, 2007, 209-219.
  • [47] Salhofer S., Wassermann G., Binner E., Strategic Environmental Assessment as an Approach to Assess Waste Management Systems. Experiences from an Austrian Case Study, J. of Environmental Modelling & Software, Vol. 22, 5, 2007, 610-618.
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Uwagi
EN
The authors would like to thank to the National Science Research Fund (OTKA) K105529, K108405 and the Social Renewal Operational Programme (TÁMOP) 4.1.1.C -12/1/KONV-2012-0017 grant for the support of the research.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cbfb527e-6816-49f4-9939-31d189c6e549
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