Finding industrial clusters in sistan and baloochistan state and specify their development priority by fuzzy MADM Dahmardeh Nazar Department of Economics, University of Sistan and Baluchestan, Iran. Abstract Today industrial clusters development is a new pattern for industrial development that many countries use it for organizing medium and small industries and make them more flexible and variable.Although every country tries to develop all industrial clusters but usually doesn't have enough financial resources and time so it is important to find the priority of industrial clusters development. In this study we specify industrial clusters priority by three MADM methodologies, Fuzzy MADM, Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) method. In Multiple Attribute Decision Making (MADM) problems, decision makers often face the problem of selecting among alternatives that have convicting attributes. For example, in site selection problems, attributes such as prices, transportation, costs of operations, and the prospects of products are often considered in the selection of a satisfactory place. For some of these attributes, we can give exact Assessments; while for others, we cannot. Since human judgments and preferences are often vague and complex, and decision makers cannot estimate their preferences with an exact scale, we can only give linguistic assessments instead of exact assessments. So fuzzy set theory is introduced into MADM, Fuzzy MADM is put forward to solve such uncertainty problems. Top Keywords Industrial clusters, medium & small industries, multiple attribute decision making, Analytical Hierarchy Process (AHP), Simple Additive Weighting (SAW). Top |