A general model of parameterized OWA aggregation with given orness level
International Journal of Approximate Reasoning
Parameterized defuzzification with continuous weighted quasi-arithmetic means - An extension
Information Sciences: an International Journal
Fuzzy decision making with immediate probabilities
Computers and Industrial Engineering
On the behavior of WOWA operators
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Models to determine parameterized ordered weighted averaging operators using optimization criteria
Information Sciences: an International Journal
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This article extends the quantifier-guided aggregation method to include probabilistic information. A general framework for the preference solution of decision making under an uncertainty problem is proposed, which can include decision making under ignorance and decision making under risk methods as special cases with some specific preference parameters. Almost all the properties, especially the monotonicity property, are kept in this general form. With the generating function representation of the Regular Increasing Monotone (RIM) quantifier, some properties of the RIM quantifier are discussed. A parameterized RIM quantifier to represent the valuation preference for probabilistic decision making is proposed. Then the risk attitude representation method is integrated in this quantifier-guided probabilistic decision making model to make it a general form of decision making under uncertainty. © 2005 Wiley Periodicals, Inc. Int J Int Syst 20: 1253–1271, 2005.