Modeling integrated sustainable waste management systems using fuzzy cognitive maps and systems of systems concepts

A. Buruzs, M. F. Hatwágner, L. Kóczy

Research output: Contribution to journalArticle

Abstract

Movement towards more sustainable waste management practice has been identified as a priority in the whole of the EU. The EU Waste Management Strategy's requirements emphasizes waste prevention; recycling and reuse; and improving final disposal and monitoring. Integrated waste management systems can be defined as the selection and application of suitable and available techniques, technologies and management programs to achieve waste management objectives and goals. As a result of the complexity and uncertainty occurring in sustainable waste management systems, the fuzzy cognitive map method is used with the combination of the bacterial evolutionary algorithm to support the planning and decision making process of integrated systems. Since the fuzzy cognitive map method is formed for a selected system by determining the concepts and their relationships, it is possible to quantitatively simulate the system considering its parameters. Several techniques were used in order to produce the input data of the simulation process. The goal of this paper is to present the process of data production.

Original languageEnglish
JournalCivil-Comp Proceedings
Volume105
Publication statusPublished - 2014

Fingerprint

Fuzzy systems
Waste management
Waste disposal
Evolutionary algorithms
Recycling
Decision making
System of systems
Planning
Monitoring

Keywords

  • Expert workshop
  • Integrated waste management system
  • System-of-systems approach
  • Time series development

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Civil and Structural Engineering
  • Artificial Intelligence
  • Environmental Engineering

Cite this

Modeling integrated sustainable waste management systems using fuzzy cognitive maps and systems of systems concepts. / Buruzs, A.; Hatwágner, M. F.; Kóczy, L.

In: Civil-Comp Proceedings, Vol. 105, 2014.

Research output: Contribution to journalArticle

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