Results 131 to 140 of about 9,706 (155)
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An OWA operator with fuzzy ranks
International Journal of Intelligent Systems, 1998Summary: 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), 2014OWA (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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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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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
2013The 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 +2 more
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Applications and extensions of OWA aggregations
International Journal of Man-Machine Studies, 1992Abstract We discuss the idea of ordered weighting averaging (OWA) operators. These operators provide a family of aggregation operators lying between the “and” and the “or”. We introduce two possible semantics associated with the OWA operator, the first being a kind of generalized logical connective and the second being a new type of probabilistic ...
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Measuring Errors with the OWA Operator
2012We study the use of the ordered weighted average in the mean error. We introduce the ordered weighted averaging error operator. It is an aggregation operator that provides a parameterized family of aggregation operators between the minimum and the maximum error. We study some of its properties and particular cases.
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Induced uncertain linguistic OWA operators applied to group decision making
Information Fusion, 2006Zeshui Xu
exaly
Two new models for determining OWA operator weights
Computers and Industrial Engineering, 2007Xinwang Liu
exaly

