Results 171 to 180 of about 498,073 (201)

Heavy OWA Operators

Fuzzy Optimization and Decision Making, 2002
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The weighted OWA operator

International Journal of Intelligent Systems, 1997
Summary: One of the properties that the OWA operator satisfies is commutativity. This condition, that is not satisfied by the weighted mean, stands for equal reliability of all the information sources that supply the data. In this article we define a new combination function, the WOWA (weighted OWA), that combines the advantages of the OWA operator and
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Probabilities in the OWA operator

Expert Systems with Applications, 2012
We analyze the use of the probability in the ordered weighted average (OWA). We introduce the probabilistic OWA (POWA) operator. It is an aggregation operator that provides a parameterized family of aggregation operators between the minimum and the maximum that considers the degree of importance that the probability and the OWA operator have in the ...
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Sensitivity Analysis of the OWA Operator

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2008
The successful design and application of the ordered weighted averaging (OWA) method as a decision-making tool depend on the efficient computation of its order weights. The most popular methods for determining the order weights are the fuzzy linguistic quantifiers approach and the minimal variability method, which give different behavior patterns for ...
Mahdi Zarghami, Ferenc Szidarovszky, Reza Ardakanian   +2 more
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RECURSIVE AND ITERATIVE OWA OPERATORS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2005
An important issue when using the OWA aggregation operators is the determination of weights. One approach is to link the weights to a desired attitudinal character for the aggregation. The ME-OWA operators provide a pioneering example of this approach.
Luigi Troiano, Ronald R. Yager
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The equivalence of maximum entropy OWA operator and geometric OWA operator

Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2004
In this paper, some properties of geometric OWA operator are investigated. The equivalence of the geometric OWA operator and the Maximum Entropy OWA operator is proved.
null Xin-Wang Liu, null Liang-Hua Chen
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Centered OWA Operators

Soft Computing, 2006
We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe a number of different examples of centered OWA operators.
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On continuous generalized OWA operators

2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011
Recently, Zhou and Chen [Continuous generalized OWA operator and its application to decision making, Fuzzy Sets and Systems 168 (2011) 18–34.] introduced a class of operators called the continuous generalized ordered weighted averaging (C-GOWA) operators.
Yao Ouyang, Zhenjiang Zhao
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MP-OWA: The most preferred OWA operator

Knowledge-Based Systems, 2008
In practical term any result obtained using an ordered weighted averaging (OWA) operator heavily depends upon the method to determine the weighting vector. Several approaches for obtaining the associated weights have been suggested in the literature, in which none of them took into account the preference of alternatives.
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An OWA operator with fuzzy ranks

International Journal of Intelligent Systems, 1998
Summary: The ordered weighted averaging (OWA) operator of Yager was introduced to provide a method for aggregating several inputs which lies between the max and min operators. The fundamental aspect of the OWA operator is a reordering step in which the input arguments are rearranged according to their integer ranks. In this paper, we generalize the OWA
H. B. Mitchell, D. D. Estrakh
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