This paper presents two case studies of municipal solid waste site location using a decision-support system based on fuzzy logic. This problem is very complex, as it requires the evaluation of different criteria, which involve environmental, social and economic data. Such data deal with a wide range of information that presents not only quantitative, but also qualitative knowledge. In order to deal with this characteristic, the developed system employs fuzzy rules due to its ability to treat linguistic variables and the human way of thinking. Conventional approaches tend to be less effective in dealing with the imprecise or vague nature of the linguistic assessment. A case study for selecting the location of a new municipal solid waste landfill for the city of Petropolis in Rio de Janeiro is presented. Testing of the proposed method was carried out using data from the municipal solid waste location for another municipality in Rio de Janeiro, Brazil.
Barlishen, K.D. & Baetz, B.W. ( 1996) Development of a decision support system for municipal solid waste management systems planning. Waste Management & Research, 14, 71-86.
2.
Chang, N.B. & Wang, S.F. ( 1996) The development of an environmental decision support system for municipal solid waste management. Computers, Environment and Urban System, 20, 201-212.
3.
Chang, N.B. & Chen, W.C. ( 2000) Fuzzy controller design for municipal incinerators with the aid of genetic algorithms and genetic programming techniques. Waste Management & Research, 18, 341-351.
4.
Chang, N.B. & Wei, Y.L. ( 2000) Siting recycling drop-off stations in an urban area by genetic algorithm-based fuzzy multi-objective nonlinear programming modeling . Fuzzy Sets and Systems, 114, 133- 149.
5.
Chang, N.B., Shoemaker, C.A. & Schuler, R.E. ( 1996) Solid waste management system analysis with air pollution and leachate impact limitations. Waste Management and Research , 14, 463-481.
6.
Chang, N.B., Chen, Y.L. & Wang, S.F. ( 1997) A fuzzy interval multi-objective mixed integer programming approach for the optimal planning of metropolitan solid waste management system . Fuzzy Sets and Systems, 89, 35-60.
7.
Chang, N.B., Chang, Y.H. & Chen, H.W.(2009) Fair fund distribution for a municipal incinerator using a GIS-based fuzzy analytical hierarchical process. Journal of Environmental Management, 90, 441- 454.
8.
Chang, N.B., Parvathinathan, G. & Breeden, J.B. ( 2008) Combining GIS with fuzzy multiple attribute decision making for landfill sitting in a fast growing urban region. Journal of Environmental Management, 87, 139-153.
9.
Chen, W.C., Chang, N.B. & Chen, J.C. ( 2002) GA-based neural-fuzzy controller design for municipal incinerators. Fuzzy Sets and System, 129, 343-369.
10.
Cho, K.T. ( 2003) Multicriteria decision methods: an attempt to evaluate and unify. Mathematical and Computer Modelling, 37, 1099-1119.
11.
Dubois, D., Prade, H. & Testemale, C. ( 1988) Weighted fuzzy pattern matching. Fuzzy Sets and Systems, 28, 313-331.
12.
Evsukoff, A.G., Branco, A.C.S. & Gentil, S. ( 1997) A knowledge acquisition method for fuzzy expert systems in diagnosis problems. In: Proc. IEEE International Conference on Fuzzy Systems, FUZZ-IEEE’97, Barcelona , July.
13.
Ferreira, S.R.M.; Jucá, J.F.T.; Melo, V.L.A.; Mariano, M.O.H. & Neto, J.P.F. ( 2002) Estudos Geo-Ambientais para Escolha da Área e Implantação do Sistema Integrado de Destinação Final dos Resíduos Sólidos do Município de Rio Formoso, PE, Brasil. [Geo-Environmental Research for Location of a New Area for Solid Waste Disposal in the Municipality of Rio Formoso, Pernambuco, Brazil]. In Proc. 10th Brazilian Congress on Engineering and Environmental Geology, Ouro Preto, Brazil.
14.
Gemitzi, A., Vassilios A.T., Voudrias, E., Petalas, C. & Stravodimos, G. ( 2007) Combining geographic information system, multicriteria evaluation techniques and fuzzy logic in siting MSW landfills. Environmental Geology, 51, 797-811.
15.
Haastrup, P., Maniezzo, V., Mattarelli, M., Mazzeo Rinaldi, F., Mendes, I. & Paruccini, M. ( 1998) A decision support system for urban waste management. European Journal of Operational Research, 109, 330-341.
16.
Jucá, J.F.T. ( 2003) Destinação Final de Resíduos Sólidos no Brasil: Situação Atual e Prespectivas. [Final disposal of urban solid waste in Brazil - actual situation and perspective]. In: Proc. of Fifth Brazilian Conference of Environmental Geotechnics , Porto Alegre, Brazil.
MacDonald, M.L. ( 1996) A multi-attribute spatial decision support system for solid waste planning. Computers, Environment and Urban Systems , 20, 1-17.
19.
NBR 13896-97 ABNT. Non-Hazardous Solid Waste Landfill - Criteria for Design, Implementation and Operation. (in Portuguese). Brazilian Association of Technical Norms ABNT, São Paulo, Brazil.
20.
PNSB - Research for National Basic Sanitation, 2000, http://www.ibge.gov.br (in Portuguese).
21.
Yager, R.R. ( 1988) On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Transactions on Systems Man and Cybernetics, 18, 183-190.
