Advanced learning of fuzzy cognitive maps of waste management by bacterial algorithm

A. Buruzs, M. F. Hatwagner, R. C. Pozna, L. Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

Fuzzy cognitive maps (FCMs) are a very convenient and simple tool for modeling complex systems. They are popular due to their simplicity and user friendliness. However, according to [1], human experts are subjective and can handle only relatively simple networks therefore there is an urgent need to develop methods for automated generation of FCM models. The present research deals with the methodology of FCMs in combination with the Bacterial Evolutionary Algorithm (BEA). The method of FCMs using BEA seems to be suitable to model such complex mechanisms as integrated municipal waste management (IMWM) systems. This paper is an attempt to assess the sustainability of the IMWM system by investigating the FCM methodology based on the BEA with a holistic approach. As a result, the best scenario to an IMWM system can be assigned.

Original languageEnglish
Title of host publicationProceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
Pages890-895
Number of pages6
DOIs
Publication statusPublished - 2013
Event9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 - Edmonton, AB, Canada
Duration: Jun 24 2013Jun 28 2013

Other

Other9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
CountryCanada
CityEdmonton, AB
Period6/24/136/28/13

Fingerprint

Waste management
Evolutionary algorithms
Large scale systems
Sustainable development

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Buruzs, A., Hatwagner, M. F., Pozna, R. C., & Kóczy, L. (2013). Advanced learning of fuzzy cognitive maps of waste management by bacterial algorithm. In Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 (pp. 890-895). [6608518] https://doi.org/10.1109/IFSA-NAFIPS.2013.6608518

Advanced learning of fuzzy cognitive maps of waste management by bacterial algorithm. / Buruzs, A.; Hatwagner, M. F.; Pozna, R. C.; Kóczy, L.

Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013. 2013. p. 890-895 6608518.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Buruzs, A, Hatwagner, MF, Pozna, RC & Kóczy, L 2013, Advanced learning of fuzzy cognitive maps of waste management by bacterial algorithm. in Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013., 6608518, pp. 890-895, 9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013, Edmonton, AB, Canada, 6/24/13. https://doi.org/10.1109/IFSA-NAFIPS.2013.6608518
Buruzs A, Hatwagner MF, Pozna RC, Kóczy L. Advanced learning of fuzzy cognitive maps of waste management by bacterial algorithm. In Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013. 2013. p. 890-895. 6608518 https://doi.org/10.1109/IFSA-NAFIPS.2013.6608518
Buruzs, A. ; Hatwagner, M. F. ; Pozna, R. C. ; Kóczy, L. / Advanced learning of fuzzy cognitive maps of waste management by bacterial algorithm. Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013. 2013. pp. 890-895
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