Fuzzy multicriteria disposal method and site selection for municipal solid waste.

The use of fuzzy multiple criteria analysis (MCA) in solid waste management has the advantage of rendering subjective and implicit decision making more objective and analytical, with its ability to accommodate both quantitative and qualitative data. In this paper a modified fuzzy TOPSIS methodology is proposed for the selection of appropriate disposal method and site for municipal solid waste (MSW). Our method is superior to existing methods since it has capability of representing vague qualitative data and presenting all possible results with different degrees of membership. In the first stage of the proposed methodology, a set of criteria of cost, reliability, feasibility, pollution and emission levels, waste and energy recovery is optimized to determine the best MSW disposal method. Landfilling, composting, conventional incineration, and refuse-derived fuel (RDF) combustion are the alternatives considered. The weights of the selection criteria are determined by fuzzy pairwise comparison matrices of Analytic Hierarchy Process (AHP). It is found that RDF combustion is the best disposal method alternative for Istanbul. In the second stage, the same methodology is used to determine the optimum RDF combustion plant location using adjacent land use, climate, road access and cost as the criteria. The results of this study illustrate the importance of the weights on the various factors in deciding the optimized location, with the best site located in Catalca. A sensitivity analysis is also conducted to monitor how sensitive our model is to changes in the various criteria weights.

[1]  Gev Eduljee,et al.  Solid waste management , 2001 .

[2]  M. Gupta,et al.  FUZZY INFORMATION AND DECISION PROCESSES , 1981 .

[3]  Ni-Bin Chang,et al.  Fair fund distribution for a municipal incinerator using GIS-based fuzzy analytic hierarchy process. , 2009, Journal of environmental management.

[4]  Deng Yong.  Plant location selection based on fuzzy TOPSIS , 2006 .

[5]  Usha Natesan,et al.  GIS-based approach for optimized siting of municipal solid waste landfill. , 2008, Waste management.

[6]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[7]  Hannele Wallenius,et al.  Interactive multiobjective analysis and assimilative capacity-based ocean disposal decisions , 1992 .

[8]  Jiangjiang Wang,et al.  Review on multi-criteria decision analysis aid in sustainable energy decision-making , 2009 .

[9]  D. Chang.  Applications of the extent analysis method on fuzzy AHP , 1996 .

[10]  R. Harrison,et al.  Environmental and health impact of solid waste management activities. , 2002 .

[11]  C. Kahraman.  Multi-Criteria Decision Making Methods and Fuzzy Sets , 2008 .

[12]  Pekka Salminen,et al.  Choosing a solid waste management system using multicriteria decision analysis , 1997 .

[13]  Yang Lei,et al.  Municipal solid waste management in Beijing City. , 2009 .

[14]  Cengiz Kahraman,et al.  Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey , 2004 .

[15]  Joonas Hokkanen,et al.  The Choice of a Solid Waste Management System Using the Electre Ii Decision-Aid Method , 1995 .

[16]  Cengiz Kahraman,et al.  Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments , 2008 .

[17]  H. Zimmermann,et al.  Fuzzy Set Theory and Its Applications , 1993 .

[18]  R L Keeney,et al.  A multiattribute utility analysis of alternative sites for the disposal of nuclear waste. , 1987, Risk analysis : an official publication of the Society for Risk Analysis.

[19]  Sara Ojeda-Benítez,et al.  The municipal solid waste cycle in Mexico: final disposal , 2003 .

[20]  Al Young.  Providence, Rhode Island , 1975 .

[21]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[22]  Ni-Bin Chang,et al.  Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. , 2008, Journal of environmental management.

[23]  Roy M. Harrison,et al.  Pollution: Causes, Effects and Control. , 1984 .

[24]  A. Kaufmann,et al.  Introduction to fuzzy arithmetic : theory and applications , 1986 .

[25]  E Metin,et al.  Solid waste management practices and review of recovery and recycling operations in Turkey. , 2003, Waste management.

[26]  Caroline M. Eastman,et al.  Response: Introduction to fuzzy arithmetic: Theory and applications : Arnold Kaufmann and Madan M. Gupta, Van Nostrand Reinhold, New York, 1985 , 1987, Int. J. Approx. Reason..

[27]  Surendra M. Gupta,et al.  Evaluation of production facilities in a closed-loop supply chain: a fuzzy TOPSIS approach , 2004, SPIE Optics East.

[28]  Massimo Paruccini,et al.  Applying multiple criteria aid for decision to environmental management. , 1994 .

[29]  B. Mareschal,et al.  Nuclear waste management: An application of the multicriteria PROMETHEE methods , 1990 .

[30]  Davey L. Jones,et al.  Critical evaluation of municipal solid waste composting and potential compost markets. , 2009, Bioresource technology.

[31]  Semih Onüt,et al.  Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. , 2008, Waste management.

[32]  Bulent Mertoglu,et al.  Landfill leachate management in Istanbul: applications and alternatives. , 2005, Chemosphere.

[33]  Ronald E. Hester,et al.  Overview of waste management options: Their efficacy and acceptability , 2002 .

[34]  Zain Tadros.  Some aspects of solid waste disposal site selection: the case of Wadi Madoneh, Jordan , 2009 .

[35]  T T Onay,et al.  Impact of various leachate recirculation regimes on municipal solid waste degradation. , 2001, Journal of hazardous materials.