Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets
Applied Soft ComputingPublished 1 June 2008
Behzad Ashtiani, Farzad Haghighirad, Ahmad Makui, Golam ali Montazer
Citations382
SJR quartileQ1
SJR score1.51
SNIP1.97
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TL;DR
The interval-valued fuzzy TOPSIS method is presented aiming at solving MCDM problems in which the weights of criteria are unequal, using interval- valued fuzzy sets concepts.
Abstract
Decision making is one of the most complex administrative processes in management. In circumstances where the members of the decision making team are uncertain in determining and defining the decision making criteria, fuzzy theory provides a proper tool to encounter with such uncertainties. However, if decision makers cannot reach an agreement on the method of defining linguistic variables based on the fuzzy sets, the interval-valued fuzzy set theory can provide a more accurate modeling. In this paper the interval-valued fuzzy TOPSIS method is presented aiming at solving MCDM problems in which the weights of criteria are unequal, using interval-valued fuzzy sets concepts.
Keywords
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