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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Two Methods for Image Compression/Reconstruction Using OWA Operatorslued fuzzy relation, and we build an image which is . times smaller than the original one, by using two-dimensional OWA operators. The experimental results show that, in this case, best results are obtained with ME-OWA operators. In the second part of the work, we describe a reduction algorithm that

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OWA-Based Fuzzy ,-ary Adjacency Relations in Social Network Analysision of the analysis can naturally be increased starting from the traditional two–dimensional case and interesting results can be derived. Therefore, fuzzy .-ary adjacency relations can be computed starting from fuzzy binary relations and introducing OWA-based aggregations. The behavioral assumptions

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Book 2011 operators. The OWA operators were introduced in the early 1980s by Ronald R. Yager as a conceptually and numerically simple, easily implementable, yet extremely powerful general aggregation operator. That simplicity,  generality and implementability of the OWA operators, combined with their intuiti

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Fusion Strategies Based on the OWA Operator in Environmental Applicationsconsensual fusion strategy defined by an extended OWA operator that accounts for data imprecision, and reliability of the data sources. In particular, the proposed fusion function models a consensual dynamics and is parameterized so as to consider a varying spatial neighborhood of the data to fuse.

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Decision Making with Dempster-Shafer Theory Using Fuzzy Induced Aggregation Operatorsef structure – fuzzy induced hybrid averaging (BS-FIHA) operator. We study some of their main properties. We further generalize this approach by using fuzzy induced generalized aggregation operators. We also develop an application of the new approach in a financial decision making problem about selection of financial strategies.

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1434-9922 resents the state of the art of new developments, and some interesting and relevant applications of the OWA (ordered weighted averaging) operators. The OWA operators were introduced in the early 1980s by Ronald R. Yager as a conceptually and numerically simple, easily implementable, yet extremely po

ETHER

The Role of the OWA Operators as a Unification Tool for the Representation of Collective Choice Setsbe viewed as a unique aggregation tool that – via the change of the order of aggregation, type of aggregation, etc. – can be used for a uniform and elegant formalization of basic group decision making, social choice and voting rules under fuzzy and nonfuzzy preference relations and fuzzy and nonfuzzy majority.

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OWA-Based Fuzzy ,-ary Adjacency Relations in Social Network Analysisuzzy .-ary adjacency relations can be computed starting from fuzzy binary relations and introducing OWA-based aggregations. The behavioral assumptions derived from the measure and the exam of individual propensity to connect with other suggest that OWA operators can be considered particularly appealing tools in characterizing such relations.