Applications of fuzzy multiple attribute decision making method solving by interval numbers

This paper is an applied approach to grey relation analysis to select representative criteria among a large set of available choices. The method of grey related analysis to solve Fuzzy Multiple Attribute Decision Making (FMADM) problem, using interval fuzzy numbers is considered. The method standardizes inputs through norms of interval number vectors. Interval valued indices are used to apply multiplicative operations over interval numbers instead of that In this paper, the method of grey related analysis use the idea of minimizing a distance function. However, grey related analysis reflects a form of fuzzification of inputs, and uses different calculations, to include different calculation of norms. The method is demonstrated on a practical problem that selection of materials related to the wind turbine blades for decision maker estimates of alternative performance on different scales