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A. Buruzs¹, M.F. Hatwágner² and L.T. Kóczy^3,4

¹Department of Environmental Engineering, Széchenyi István University, Gyor, Hungary
²Department of Informatics, Széchenyi István University, Gyor, Hungary
³Department of Telecommunications and Media Informatics
Budapest University of Technology, Hungary
⁴Economics, Hungary and Department of Automation, Széchenyi István University, Gyor, Hungary

Keywords: integrated waste management system, system-of-systems approach, expert workshop, time series development.

Summary

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.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 105 PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: Paper 87 Modeling Integrated Sustainable Waste Management Systems using Fuzzy Cognitive Maps and Systems of Systems Concepts A. Buruzs¹, M.F. Hatwágner² and L.T. Kóczy^3,4 ¹Department of Environmental Engineering, Széchenyi István University, Gyor, Hungary ²Department of Informatics, Széchenyi István University, Gyor, Hungary ³Department of Telecommunications and Media Informatics Budapest University of Technology, Hungary ⁴Economics, Hungary and Department of Automation, Széchenyi István University, Gyor, Hungary doi:10.4203/ccp.105.87 purchase the full-text of this paper Full Bibliographic Reference for this paper , "Modeling Integrated Sustainable Waste Management Systems using Fuzzy Cognitive Maps and Systems of Systems Concepts", in , (Editors), "Proceedings of the Ninth International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 87, 2014. doi:10.4203/ccp.105.87 Keywords: integrated waste management system, system-of-systems approach, expert workshop, time series development. Summary 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. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £45 +P&P)
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