Preliminary Landfill Site Screening Using Fuzzy Geographical Information Systems

This paper explores the prospect of coupling fuzzy set theory and the analytic hierarchy process (AHP) into a raster-based geographical information system (GIS) for the preliminary screening of landfill sites in Thailand. The theory of linguistic variable is used to represent imprecision of spatial data and human cognition over the criteria used for the screening process. Proximity of geographic objects, slope and elevation are criteria used for this investigation. The priority weights reflecting the preferences on the screening criteria, accounting for seventeen map layers, are derived by the method of the AHP. The general method of GIS intersection based on binary logic is conducted to compare with the fuzzy min-operator intersection and the proposed convex combination model. The results show that the first method, in relation to the fuzzy methods, fails to recognize 35.6% of the study area as potential areas for waste disposal. The proposed convex combination model has advantage over the fuzzy min-operator intersection with respect to the ability to integrate criteria's preferences into the screening process. It also yields agreeable results with the recommendations from previous study in the same area.

[1]  HAZARDOUS WASTE Hazardous waste. , 1994, Environmental science & technology.

[2]  Peter A. Burrough,et al.  Fuzzy mathematical methods for soil survey and land evaluation , 1989 .

[3]  A. Kandel Fuzzy Mathematical Techniques With Applications , 1986 .

[4]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[5]  Reza Banai,et al.  Fuzziness in Geographical Information Systems: Contributions from the Analytic Hierarchy Process , 1993, Int. J. Geogr. Inf. Sci..

[6]  G. Crawford,et al.  A note on the analysis of subjective judgment matrices , 1985 .

[7]  Didier Dubois,et al.  A review of fuzzy set aggregation connectives , 1985, Inf. Sci..

[8]  Yee Leung,et al.  A Linguistically-Based Regional Classification System , 1985 .

[9]  Fatemeh Zahedi,et al.  The Analytic Hierarchy Process—A Survey of the Method and its Applications , 1986 .

[10]  Victor Tang,et al.  The Silverlake Project: Transformation at IBM , 1992 .

[11]  T. Saaty Highlights and critical points in the theory and application of the Analytic Hierarchy Process , 1994 .

[12]  G. Crawford,et al.  The Analysis of Subjective Judgment Matrices. , 1985 .

[13]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[14]  Luis G. Vargas An overview of the analytic hierarchy process and its applications , 1990 .

[15]  Charles R. Johnson,et al.  Right-left asymmetry in an eigenvector ranking procedure , 1979 .

[16]  Michael Greenberg,et al.  Hazardous Waste Facility Siting A Role for Planners , 1982 .

[17]  Luis G. Vargas,et al.  Comparison of eigenvalue, logarithmic least squares and least squares methods in estimating ratios , 1984 .

[18]  J. Barzilai,et al.  Consistent weights for judgements matrices of the relative importance of alternatives , 1987 .

[19]  Luis G. Vargas,et al.  The theory of ratio scale estimation: Saaty's analytic hierarchy process , 1987 .

[20]  Richard Bellman,et al.  On the Analytic Formalism of the Theory of Fuzzy Sets , 1973, Inf. Sci..

[21]  R. E. Jensen An alternative scaling method for priorities in hierarchical structures , 1984 .

[22]  J. R Jensen,et al.  Solid and hazardous waste disposal site selection using digital geographic information system techniques , 1986 .

[23]  Donald Vesley,et al.  Solid and Hazardous Waste , 1999 .

[24]  Kwong-Sak Leung,et al.  An Intelligent Expert System Shell for Knowledge-Based Geographical Information Systems: 1. The Tools , 1993, Int. J. Geogr. Inf. Sci..

[25]  George Tchobanoglous,et al.  Integrated Solid Waste Management: Engineering Principles and Management Issues , 1993 .