Results 181 to 190 of about 2,911 (212)

Prioritized OWA aggregation

Fuzzy Optimization and Decision Making, 2009
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OWA Generation Function and Some Adjustment Methods for OWA Operators With Application

IEEE Transactions on Fuzzy Systems, 2016
We propose the concept of ordered weighted averaging (OWA) generation function with some properties, illustrative examples, and usages. A number of new properties of OWA operators and relations between some well-known OWA operators are proposed and proved using OWA Generation Functions.
LeSheng Jin, Gang Qian
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Generalized OWA Aggregation Operators

Fuzzy Optimization and Decision Making, 2004
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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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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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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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Classification with fuzzy OWA distance

2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014), 2014
OWA (Ordered Weighted Averaging) Distance Based CxK Nearest Neighbor Algorithm (CxK-NN) via L-R fuzzy data is performed with two different fuzzy metric measures. We use fuzzy metric defined by Diamond and a weighted dissimilarity measure composed by spread distances and center distances in order to evaluate the effects of different metric measures.
Ulutagay, Gozde, Kantarci, Suzan
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Dependent OWA Operators

2006
Yager [1] introduced several families of ordered weighted averaging (OWA) operators, in which the associated weights depend on the aggregated arguments. In this paper, we develop a new dependent OWA operator, and study some of its desirable properties.
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Norm Aggregations and OWA Operators

2013
The ordered weighted average (OWA) is an aggregation operator that provides a parameterized family of aggregation operators between the minimum and the maximum. This paper studies the use of the OWA operator with norms. Several extensions and generalizations are suggested including the use of the induced OWA operator and the OWA weighted average.
José M. Merigó, Ronald R. Yager
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OWA for Bipartite Assignments.

In resource allocation problems, a central planner often strives to have a fair assignment. A challenge they might face, however, is that there are several objectives that could be argued to be fair, such as the max-min and maximum social welfare. In this work, we study bipartite assignment problems involving the optimization of a class of functions ...
Jabari Hastings, Sigal Oren, Omer Reingold   +2 more
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