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Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map

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Complex System Modelling and Control Through Intelligent Soft Computations

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 319))

Abstract

Movement towards more sustainable waste management practice has been identified as a priority in the whole of EU. The EU Waste Management Strategy’s requirements emphasize waste prevention; recycling and reuse; and improving final disposal and monitoring. In addition, in Hungary the national waste strategy requires an increase in the household waste recycling and recovery rates. Integrated waste management system (IWMS) can be defined as the selection and application of suitable and available techniques, technologies and management programs to achieve waste management objectives and goals. In this paper, the concept of ‘key drivers’ are defined as factors that change the status quo of an existing waste management system in either positive or negative direction. Due to the complexity and uncertainty occurring in sustainable waste management systems, we propose the use of fuzzy cognitive map (FCM) and bacterial evolutionary algorithm (BEA) methods to support the planning and decision making process of integrated systems, as the combination of the FCM and BEA seem to be suitable to model complex mechanisms such as IWMS. Since the FCM is formed for a selected system by determining the concepts and their relationships, it is possible to quantitatively simulate the system considering its parameters. The goal of optimization was to find such a connection matrix for FCM that makes possible to generate the most similar time series. This way a more objective description of IWMS can be given. While the FCM model represents the IWMS as a whole, BEA is used for parameter optimization and identification. Based on the results, in the near future we intend to apply the systems of systems (SoS) approach to regional IWMS.

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Acknowledgments

The authors would like to thank to the National Science Research Fund (OTKA) K105529, K108405, the Social Renewal Operational Programme (TÁMOP) 4.1.1.C-12/1/KONV-2012-0017 grant for the support of the research.

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Authors and Affiliations

  1. Department of Environmental Engineering, Széchenyi István University, Egyetem tér 1, Győr, 9026, Hungary

    Adrienn Buruzs

  2. Department of Information Technology, Széchenyi István University, Egyetem tér 1, Győr, 9026, Hungary

    Miklós F. Hatwágner

  3. Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Magyar Tudósok körútja 2, Budapest, 1117, Hungary

    László T. Kóczy

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  1. Adrienn Buruzs
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  2. Miklós F. Hatwágner
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  3. László T. Kóczy
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Correspondence to Adrienn Buruzs .

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Editors and Affiliations

  1. Department of Engineering Design and Mathematics, University of the West of England, Bristol, United Kingdom

    Quanmin Zhu

  2. Faculty of Computers and Information, Benha University, Benha, Egypt

    Ahmad Taher Azar

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Buruzs, A., Hatwágner, M.F., Kóczy, L.T. (2015). Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map. In: Zhu, Q., Azar, A. (eds) Complex System Modelling and Control Through Intelligent Soft Computations. Studies in Fuzziness and Soft Computing, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-319-12883-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-12883-2_4

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