Using Fuzzy Cognitive Maps approach to identify integrated waste management system characteristics

Adrienn Buruzs, László T. Kóczy, Miklós F. Hatwagner

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

3 Citations (Scopus)

Abstract

This paper outline how Fuzzy Cognitive Maps (FCM) can be applied as a tool in integrated waste management systems. FCM is a soft systems methodology for exploiting and analyzing human perceptions of a given system. During the research, the driving forces and impacts in the changes of waste management systems have been analyzed. Several types of FCM are known, and the authors' intention was to apply the FCM type III to describe the causality relations among the factors of the integrated waste management systems (IWMS).

Original languageEnglish
Title of host publication5th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages141-147
Number of pages7
ISBN (Electronic)9781479972807
DOIs
Publication statusPublished - Jan 23 2014
Event5th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2014 - Vietri sul Mare, Italy
Duration: Nov 5 2014Nov 7 2014

Publication series

Name5th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2014 - Proceedings

Other

Other5th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2014
CountryItaly
CityVietri sul Mare
Period11/5/1411/7/14

Keywords

  • caualisty
  • fuzzy cognitive map
  • integrated waste management system
  • self reflexive

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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  • Cite this

    Buruzs, A., Kóczy, L. T., & Hatwagner, M. F. (2014). Using Fuzzy Cognitive Maps approach to identify integrated waste management system characteristics. In 5th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2014 - Proceedings (pp. 141-147). [7020435] (5th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2014 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CogInfoCom.2014.7020435