COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS FOR SOFT COMPUTING

Document Type: Research Paper

Authors

1 Systems and Industrial Engineering Department, University of Arizona, Tucson, Az 85721-0020, USA

2 Faculty of Civil Engineering, University of Tabriz, Tabriz 51664, Iran

Abstract

This paper will introduce a new method to obtain the order weights
of the Ordered Weighted Averaging (OWA) operator. We will first show the
relation between fuzzy quantifiers and neat OWA operators and then offer a
new combination of them. Fuzzy quantifiers are applied for soft computing
in modeling the optimism degree of the decision maker. In using neat operators,
the ordering of the inputs is not needed resulting in better computation
efficiency. The theoretical results will be illustrated in a water resources management
problem. This case study shows that more sensitive decisions are
obtained by using the new method.

Keywords

References

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Iranian Journal of Fuzzy Systems

Volume 6, Issue 1
January and February 2009
Pages 15-25

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