JACIII Vol.18 No.4 pp. 538-548
doi: 10.20965/jaciii.2014.p0538


Fuzzy Cognitive Maps and Bacterial Evolutionary Algorithm Approach to Integrated Waste Management Systems

Adrienn Buruzs*, Miklós Ferenc Hatwágner**,
and László Tamás Kóczy***

*Department of Environmental Engineering Széchenyi István University, Gyõr, Egyetem tér 1., Hungary

**Department of Information Technology Széchenyi István University, Gyõr, Egyetem tér 1., Hungary

***Department of Telecommunications and Media Informatics Budapest University of Technology and Economics, Budapest, Magyar tudósok körútja 2., Hungary

February 3, 2014
April 30, 2014
July 20, 2014
integrated waste management system, sustainability factors, fuzzy cognitive map, bacterial evolutionary algorithm, optimization
Sustainable waste management systems necessarily include many interacting factors. Due to the complexity and uncertainties occurring in sustainable waste management systems, we propose the use of Fuzzy Cognitive Maps (FCM) and Bacterial Evolutionary Algorithm (BEA) [1] to support the planning and decision making process of integrated systems, as the combination of methods FCM and BEA seems to be suitable to model such complex mechanisms as Integrated Waste Management Systems (IWMS). This paper is an attempt to assess the sustainability of the IWMS in a holistic approach. While the FCM model represents the IWMS as a whole, the BEA is used for parameter optimization and identification. An interpretation of the results obtained by the FCM for the actual regional IWMS is also presented. We have obtained some surprising results, contradicting the general assumptions in the literature concerning the relative importance of constituting components in waste management systems.
Cite this article as:
A. Buruzs, M. Hatwágner, and L. Kóczy, “Fuzzy Cognitive Maps and Bacterial Evolutionary Algorithm Approach to Integrated Waste Management Systems,” J. Adv. Comput. Intell. Intell. Inform., Vol.18 No.4, pp. 538-548, 2014.
Data files:
  1. [1] W. Stach, L. Kurgan, W. Pedrycz, and M. Reformat, “Genetic Learning of Fuzzy Cognitive Maps,” Fuzzy Sets and Systems, Vol.153, pp. 371-401, 2005.
  2. [2] Council Directive 1999/31/EC of 26 April 1999 on the landfill of waste.
  3. [3] European Parliament and Council Directive 94/62/EC of 20 December 1994 on packaging and packaging waste.
  4. [4] P. S. Phillips, A. D. Read, A. E. Green, and M. P. Bates, “UK waste minimisation clubs: a contribution to sustainable waste management,” Resources, Conservation and Recycling, Vol.27, pp. 217-247, 1999.
  5. [5] A. Demirbas, “Waste Management, Waste Resource Facilities and Waste Conversion Processes,” Energy Conservation and Management, 52, 1280-1287, 2011.
  6. [6] J. den Boer, E. den Boer, and J. Jager, “LCA-IWM: A Decision Support Tool for Sustainability Assessment of Waste Management Systems,” Waste Management, Vol.27, pp. 1032-1045, 2007.
  7. [7] M. D. Bovea and J. C. Powell, “Alternative scenarios to meet the demands of sustainable waste management,” J. of Environmental Management, Vol.79, pp. 115-132, 2006.
  8. [8] J.-H. Tanskanen, “Strategic planning of municipal solid waste management,” Resources, Conservation and Recycling, Vol.30, pp. 111-133, 2000.
  9. [9] K. Joseph, “Stakeholder participation for sustainable waste management,” Habitat Int., Vol.30, Issue 4, pp. 863-871, Dec. 2006.
  10. [10] M. L. M. Graymore, N. G. Sipe, and R. E. Rickson, “Regional Sustainability: How Useful are Current Tools of Sustainability Assessment at the Regional Scale?” Ecological Economics, Vol.67, Issue 3, pp. 362-372, 2008.
  11. [11] A. van de Klundert and J. Anschutz, “Integrated Sustainable Waste Management: the Selection of Appropriate Technologies and the Design of Sustainable Systems is Not (Only) a Technological issue,” CEDARE/IETC Inter-regional Workshop on Technologies for Sustainable Waste Management, Alexandria, Egypt, 1-17, 1999.
  12. [12] A. J. Morrissey and J. Browne, “Waste Management Models and Their Application to Sustainable Waste Management,” Waste Management, Vol.24, pp. 297-308, 2004.
  13. [13] E. J. Wilson, F. R. McDougall, and J. Willmore, “Euro-Trash: Searching Europe for a More Sustainable Approach to Waste management,” Resources Conservation and Recycling, Vol.31, pp. 327-346, 2001.
  14. [14] D. J. Langa, C. R. Binder, et al., “Material and Money Flows as a Means for Industry Analysis of Recycling Schemes. A Case Study of Regional Bio-Waste Management,” Resources, Conservation and Recycling, Vol.49, pp. 159-190, 2006.
  15. [15] S. A. Thorneloe, K. Weitz, M. Barlaz, and R. K. Ham, “Tools for Determining Sustainable Waste Management Through Application of Life-Cycle Assessment: Update on U.S. Research,” Seventh Int. Waste Management and Landfill Symposium V, 629-636, 1999.
  16. [16] E. Papageorgiou and A. Kontogianni, “Using Fuzzy Cognitive Mapping in Environmental Decision Making and Management: A Methodological Primer and an Application,” S. Young, (Ed.), Int. Perspectives on Global Environmental Change, ISBN: 978-953-307-815-1, InTech, DOI: 10.5772/29375, 2012.
  17. [17] M.-L. Hung, H.-W. Ma, and W.-F. Yang, “A novel sustainable decision making model for municipal solid waste management,” Waste Management, Vol.27, Issue 2, pp. 209-219, 2007.
  18. [18] S. Salhofer, G.Wassermann, and E. Binner, “Strategic environmental assessment as an approach to assess waste management systems. Experiences from an Austrian case study,” Environmental Modelling & Software, Vol.22, Issue 5, pp. 610-618, May 2007.
  19. [19] B. Kosko, “Fuzzy cognitive maps,” Int. J. of Man-Machine Studies, Vol.24, No.1, pp. 65-75, 1986.
  20. [20] J. P. Carvalho, “On the Semantics and the Use of Fuzzy Cognitive Maps in Social Sciences,” WCCI 2010 IEEE World Congress on Computational Intelligence, July, 18-23, 2010 – CCIB, Barcelona, Spain.
  21. [21] M. K. Ketipi, D. E. Koulouriotis, E. G. Karakasis, G. A. Papakostas, and V. D. Tourassis, “A flexible nonlinear approach to represent cause-effect relationships in FCMs,” Applied Soft Computing, Elsevier, Vol.12, pp. 3757-3770, 2012.
  22. [22] D. Stylos and P. P. Groumpos, “Modeling Complex Systems Using Fuzzy Cognitive Maps,” IEEE Trans. on Systems, Man, and Cybernetics – Part A: Systems and Humans, Vol.34, No.1, 2004.
  23. [23] C. D. Stylos, V. C. Georgopoulos, and P. P. Groumpos, “The Use of Fuzzy Cognitive Maps in Modeling Systems,” Proc. of 5th IEEE Mediterranean Conf. on Control and Systems, Paphos, Cyprus, 1997.
  24. [24] K. Balázs, L. T. Kóczy, and J. Botzheim, “Comparative Investigation of Various Evolutionary and Memetic Algorithms,” I. J. Rudas, J. Fodor, and J. Kacprzyk, (Eds.), Computational Intelligence in Engineering, Studies in Computational Intelligence 313, Springer, pp. 129-140, 2010.
  25. [25] K. Balázs, J. Botzheim, and L. T. Kóczy, “Comparison of Various Evolutionary and Memetic Algorithms,” Proc. of the Int. Symp. on Integrated Uncertainty Management and Applications, IUM 2010, Ishikawa, Japan, pp. 431-442, 2010.
  26. [26] Zs. Dányádi, K. Balázs, and L. T. Kóczy, “A Comparative Study of Various Evolutionary Algorithms and Their Combinations for Optimizing Fuzzy Rule-based Inference Systems,” Scientific Bulletin of “Politechnica” University of Timisoara, Romania, Transactions on Automatic Control and Computer Science, Vol.55, No.69, pp. 247-254, 2010.
  27. [27] K. Balázs, and L. T. Kóczy, “Constructing Dense, Sparse and Hierarchical Fuzzy Systems by Applying Evolutionary Optimization Techniques,” Applied and Computational Mathematics, Vol.11, No.1, pp. 81-101, 2012.
  28. [28] K. Balázs, Z. Horváth, and L. T. Kóczy, “Different Chromosome Based Evolutionary Approaches for the Permutation Flow Shop Problem,” Acta Polytechnica Hungarica, Vol.2, No.2, pp. 115-138, 2012.
  29. [29] N. E. Nawa and T. Furuhashi, “Fuzzy System Parameters Discovery by Bacterial Evolutionary Algorithm,” IEEE Trans. on Fuzzy Systems, Vol.7, No.5, pp. 608-616, 1999.
  30. [30] N. E. Nawa and T. Furuhashi, “A Study on the Effect of Transfer of Genes for the Bacterial Evolutionary Algorithm,” L. C. Jain, R. K. Jain, (Eds.), Second Int. Conf. on Knowledge-Based Intelligent Electronic System, Adelaide, Australia, pp. 585-590, 1998.
  31. [31] N. E. Nawa, T. Hashiyama, T. Furuhashi, and Y. Uchikawa, “A Study on Fuzzy Rules Discovery Using Pseudo-Bacterial Genetic Algorithm with Adaptive Operator,” Proc. of IEEE Int. Conf. on Evolutionary Computation, ICEC’97, 1997.
  32. [32] T. Bäck, D. B. Fogel, and Z. Michalewicz, “Handbook of Evolutionary Computation,” IOP Publishing and Oxford University Press, 1997.
  33. [33] D. E. Goldberg, “Genetic Algorithms in Search, Optimization, and Machine Learning,” Addison-Wesley Publishing Company, Inc., 1989.
  34. [34] N. E. Nawa and T. Furuhashi, “Fuzzy System Parameters Discovery by Bacterial Evolutionary Algorithm,” IEEE Trans. on Fuzzy Systems, Vol.7, No.5, pp. 608-616, 1999.
  35. [35] J. D. Pintér, “Global Optimization in Action,” Kluwer Academic Publishers, Dordrecht, Netherlands, 1996.
  36. [36] J. Botzheim, C. Cabrita, L. T. Kóczy, and A. E. Ruano, “Fuzzy Rule Extraction by Bacterial Memetic Algorithms,” Int. J. of Intelligent Systems, Vol.24, pp. 312-339, 2009.
  37. [37] L. Gál and L. T. Kóczy, “Advanced Bacterial Memetic Algorithms,” Acta Technica Jaurinensis, Series Intelligentia Computatorica, Vol.1, No.3, pp. 225-243, 2008.
  38. [38] J. Botzheim, C. Cabrita, L. T. Kóczy, and A. E. Ruano, “Fuzzy Rule Extraction by Bacterial Memetic Algorithm,” IFSA, Beijing, China, pp. 1563-1568, 2005.
  39. [39] L. Gál, J. Botzheim, and L. T. Kóczy, “Modified Bacterial Memetic Algorithm used for Fuzzy Rule Base Extraction,” CSTST ’08 Proc. of the 5th int. conf. on Soft computing as transdisciplinary science and technology, ACM, NY, USA, pp. 425-431, 2008.
  40. [40] F. M. Hatwágner and A. Horvath, “Parallel Gene Transfer Operations for the Bacterial Evolutionary Algorithm,” Acta Technica Jaurinensis, Vol.4, No.1, pp. 89-112, 2011.
  41. [41] A. Buruzs, R. C. Pozna, and L. T. Kóczy, “Developing Fuzzy Cognitive Maps for Modelling Regional Waste Management Systems,” Y. Tsompanakis, (Ed), Proc. of the Third Int. Conf. on Soft Computing Technology in Civil, Structural and Environmental Engineering,” Civil-Comp Press, Stirlingshire, UK, Paper 19, 2013.
  42. [42] A. Buruzs, M. F. Hatwágner, R. C. Pozna, L. T. Kóczy, “Advanced Learning of Fuzzy Cognitive Maps ofWasteManagement by Bacterial Algorithm,” IFSA World Congress and NAFIPS Annual Meeting, IEEE, pp. 890-895, 2013.
  43. [43] F. M. Hatwágner and A. Horváth, “Maintaining Genetic Diversity in Bacterial Evolutionary Algorithm,” Annales Univ. Sci. Budapest, Sec. Comp, Budapest, Vol.37, pp. 175-194, 2012.
  44. [44] K. Perusich, “System Diagnosis Using Fuzzy Cognitive Maps, Cognitive Maps,” Karl Perusich, (Ed.), ISBN: 978-953-307-044-5, In-Tech, 2010.
  45. [45] M. Jamshidi, (Ed.), “Systems of System Engineering. Innovation for the 21th Century,” John Wiley & Sons, Inc. Hoboken, New Jersey, ISBN 978-0-470-19590-1, p. 480, 2009.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Jul. 12, 2024