combining fuzzy quantifiers and neat operators for soft computing

نویسندگان

ferenc szidarovszky

mahdi zarghami

چکیده

this paper will introduce a new method to obtain the order weightsof the ordered weighted averaging (owa) operator. we will first show therelation between fuzzy quantifiers and neat owa operators and then offer anew combination of them. fuzzy quantifiers are applied for soft computingin modeling the optimism degree of the decision maker. in using neat operators,the ordering of the inputs is not needed resulting in better computationefficiency. the theoretical results will be illustrated in a water resources managementproblem. this case study shows that more sensitive decisions areobtained by using the new method.

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عنوان ژورنال:
iranian journal of fuzzy systems

ناشر: university of sistan and baluchestan

ISSN 1735-0654

دوره 6

شماره 1 2009

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