On decision-making with non-standard fuzzy subsets Online publication date: Mon, 15-Dec-2008
by Ronald R. Yager
International Journal of Knowledge Engineering and Soft Data Paradigms (IJKESDP), Vol. 1, No. 1, 2009
Abstract: We describe the formal equivalence between interval valued and intuitionistic fuzzy subsets. We then discuss the role of fuzzy set methods in multi-criteria decision-making. We note that when an application involves non-standard, interval valued or intuitionistic fuzzy subsets, a problem arises in choosing a best alternative. This problem is a result of the fact that the membership grades of these non-standard fuzzy subsets are not completely ordered. Here, we introduce a method for evaluating alternatives in this situation.
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