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ABSTRACT:Adoption of most suitable post mining land use is a problem with multi-dimensional nature. There are so many factors in this problem which seriously influence on the decision judgments. Therefore, in this study a fiftyattribute framework for mined land suitability analysis including fifty numbers of economical, social, technical and mine site factors developed to be a foundation for this decision making problem. Analysis by an outranking multiattribute decision-making technique, called elimination et choix traduisant la realite method, was taken into consideration because of its clear advantages on the field of mined land suitability analysis as compared with multi-attribute decisionmaking ranking techniques. Analytical hierarchy process method applied to calculate global weights of the attributes through pair wise comparison matrixes. The weights then passed to the elimination et choix traduisant la realit method so that the most efficient post mining land uses could be appointed through comparisons of pair-wise dominance relationships between alternatives. This approach applied to an illustrative example where, final results showed that, there were two non-dominated land-uses for the considered example; industrial and pasture. However by increasing indifference threshold limit, the non-dominated set reduced to a single alternative that was pasture land-use. Key words: Disturbed land, multi-attribute decision-making, analytical hierarchy process, elimination et choix traduisant la realit INTRODUCTIONIn this paper, a mined land suitability analysis (MLSA) framework containing fifty numbers of leading evaluation attributes and also eight possible groups of post mining land uses for a mined land is provided by reviewing and surveying reclamation practice reports of mines, disturbed lands and many other similar cases. For example, Coppin and Bradshaw, 1982; Chen, et al., 1998;Howat, 2000;Tafi et al., 2006;Carrick and Kruger (2007) have evaluated the factors limiting plant growth on mined soils and mentioned the most serious soil limitations. Some other researchers e.g. Hindle and Grosskopf, 2000;Messing and Hoang, 2001;Hill, 2003;Gizikoff, 2004;Mu (2006) have investigated so many other factors such as topography, climate, environment, society, economy, etc. which arise in land use evaluations of mined or other disturbed lands. Besides, Cairns,1972; Alexander,1998;Errington, 2001;Paschke, et al., 2003; Stellin, et al., 2005;Cao (2007); have focused on special post mining land uses that were exercised in some mine sites. In the proposed MLSA framework, evaluation attributes is categorized into four criteria groups; economical, social, technical, and mine site factors. Each criteria group in turn extends to lower levels consisted of the fifty attributes in a protracted hierarchical structure.In the last few years, analytical hierarchy process (AHP) method which is a multi-attribute decisionmaking (MADM) technique has been addressed more or less in literature on the field of MLSA process (Uberman and Ostrêga...

Landfill site selection is a complex and timeconsuming process, which requires evaluation of several factors where many different attributes are taken into account. Decision makers always have some difficulties in making the right decision in the multiple attribute environments. After identifying candidate sites, these sites should be ranked using decision-making methods. This study applies Chang's fuzzy AHP-based multiple attribute decision-making (MADM) method for selection of the best site of landfills based on a set of decision criteria. The Fuzzy Analytic Hierarchy Process (FAHP) was designed to make pairwise comparisons of selected criteria by domain experts for assigning weights to the decision criteria. Analytic Hierarchy Process (AHP) is used to make pairwise comparisons and assign weights to the decision criteria. It is easier for a decision maker to describe a value for an alternative by using linguistic terms and fuzzy numbers. In the fuzzy-based AHP method, the rating of each alternative was described using the expression of triangular fuzzy membership functions. Once the global weights of the criteria is calculated by AHP, they are incorporated into the decision matrices composed by decision maker and passed to fuzzy-AHP method which is used to determine preference order of siting alternatives. In this study, a computer program based on the Chang's fuzzy method was also developed in MATLAB environment for ranking and selecting the landfill site. As an example of the proposed methodology, four different hypothetical areas were chosen and implemented to demonstrate the effectiveness of the program. By using this program, the precision was improved in comparison with traditional methods and computational time required for ranking and selecting the suitable landfill site was significantly reduced.