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Titlebook: Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice; Ronald R. Yager,Janusz Kacprzyk,Gleb Beliakov Book 2

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楼主: foresight
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Induced Ordered Weighted Averaging Operatorsvalues different to those used in calculation. For instance, if we have a number of mobile sensor readings, we may wish to allocate more importance to the reading taken from the sensor closest to us at a given point in time, rather than the largest reading.
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A Review of the OWA Determination Methods: Classification and Some Extensionsethods and the preference methods. Some relationships between the methods in the same kind and the relationships between different kinds are provided. An uniform framework to connect these OWA determination methods together is also attempted. Some extensions, problems and future research directions are given with discussions.
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978-3-642-26706-2Springer-Verlag Berlin Heidelberg 2011
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Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice978-3-642-17910-5Series ISSN 1434-9922 Series E-ISSN 1860-0808
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Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/r/image/823246.jpg
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The WOWA Operator: A Reviewpermits the aggregation of a set of numerical data with respect to two weighting vectors: one corresponding to the one of the weighted mean and the other corresponding to the one of the OWA. In this chapter we review this operator as well as some of its main results.
发表于 2025-3-30 05:37:20 | 显示全部楼层
Combination of Similarity Measures in Ontology Matching Using the OWA Operatorained from different similarity measures. We have implemented the solution in the ontology matching system FOAM. Using the similarity measures in FOAM, we analyze the way to choose different OWA operators and compare our system with others.
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