Strategic decision support in waste management systems by state reduction in FCM models

Miklós F. Hatwágner, Adrienn Buruzs, Péter Földesi, L. Kóczy

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

4 Citations (Scopus)

Abstract

In this paper, we introduce a new design for modeling sustainable waste management systems. By its complexity, this model is much more precise in describing the real systems than those found in the relevant literature. We set up a model with six factors and then decomposed the constituting factors up to around thirty subcomponents, thereby established an extremely complex and completely novel model of the Integrated Waste Management System (IWMS) using the system-of-system (SoS) approach with the help of experts. After the investigation of the basic and detailed model and their connection matrices, the following idea arises. The two models differ conceptually and so greatly that less than thirty-three factors should be enough to approximately describe the mechanism of action of the real IWMS. In the following, a new state reduction method is proposed. It can be considered as a generalization of the state reduction procedure of sequential systems and finite state machines. The essence of the proposal is to create clusters of factors and to build a new model using these clusters as factors. This way the number of factors can be decreased to make the model easier to understand and use. Our main goal with this method is to support the strategic decision making process of the stakeholder in order to ensure the long-term sustainability of IWMS.

Original languageEnglish
Title of host publicationNeural Information Processing - 21st International Conference, ICONIP 2014, Proceedings
PublisherSpringer Verlag
Pages447-457
Number of pages11
Volume8836
ISBN (Print)9783319126425
Publication statusPublished - 2014
Event21st International Conference on Neural Information Processing, ICONIP 2014 - Kuching, Malaysia
Duration: Nov 3 2014Nov 6 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8836
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other21st International Conference on Neural Information Processing, ICONIP 2014
CountryMalaysia
CityKuching
Period11/3/1411/6/14

Fingerprint

Waste management
Decision Support
Model
Connection Matrix
Finite automata
Sustainability
State Machine
Reduction Method
Sustainable development
Decision making
Decision Making
Modeling

Keywords

  • Cycles
  • Fuzzy cognitive maps
  • Integrated waste management system
  • State reduction

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Hatwágner, M. F., Buruzs, A., Földesi, P., & Kóczy, L. (2014). Strategic decision support in waste management systems by state reduction in FCM models. In Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings (Vol. 8836, pp. 447-457). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8836). Springer Verlag.

Strategic decision support in waste management systems by state reduction in FCM models. / Hatwágner, Miklós F.; Buruzs, Adrienn; Földesi, Péter; Kóczy, L.

Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Vol. 8836 Springer Verlag, 2014. p. 447-457 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8836).

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

Hatwágner, MF, Buruzs, A, Földesi, P & Kóczy, L 2014, Strategic decision support in waste management systems by state reduction in FCM models. in Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. vol. 8836, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8836, Springer Verlag, pp. 447-457, 21st International Conference on Neural Information Processing, ICONIP 2014, Kuching, Malaysia, 11/3/14.
Hatwágner MF, Buruzs A, Földesi P, Kóczy L. Strategic decision support in waste management systems by state reduction in FCM models. In Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Vol. 8836. Springer Verlag. 2014. p. 447-457. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Hatwágner, Miklós F. ; Buruzs, Adrienn ; Földesi, Péter ; Kóczy, L. / Strategic decision support in waste management systems by state reduction in FCM models. Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Vol. 8836 Springer Verlag, 2014. pp. 447-457 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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