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On ordered weighted averaging aggregation operators in multicriteria decision-making
Ronald R. Yager
- Vol. 18, pp 183-190
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The article was published on 1988-01-01 and is currently open access. It has received 3030 citations till now. The article focuses on the topics: Ordered weighted averaging aggregation operator.read more
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Group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a manufacturing system
Reay-Chen Wang,Shian-Jong Chuu +1 more
TL;DR: A group decision-making structure model of flexibility in a manufacturing system development and two algorithms for determining the degree of manufacturing flexibility in an fuzzy environment using a fuzzy linguistic approach are proposed.
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Multiple criteria linear programming model for portfolio selection
TL;DR: A multiple criteria linear programming model of the portfolio selection problem is developed based on the preference axioms for choice under risk that allows one to employ the standard multiple criteria procedures to analyze the portfolioselection problem.
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A hybrid approach to the sentiment analysis problem at the sentence level
TL;DR: This new method uses natural language processing essential techniques, a sentiment lexicon enhanced with the assistance of SentiWordNet, and fuzzy sets to estimate the semantic orientation polarity and its intensity for sentences, which provides a foundation for computing with sentiments.
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Dependent uncertain ordered weighted aggregation operators
TL;DR: Some dependent uncertain ordered weighted aggregation operators are developed, including dependent uncertain ordering weighted averaging (DUOWA) operators and dependent uncertain order weighted geometric (D UOWG) operators, in which the associated weights only depend on the aggregated interval arguments and can relieve the influence of unfair interval arguments on the aggregation results by assigning low weights to those ''false'' and ''biased'' ones.
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Evaluating the Information Quality of Web Sites: A Methodology Based on Fuzzy Computing With Words
TL;DR: An evaluation methodology based on fuzzy computing with words aimed at measuring the information quality of Web sites containing documents is presented and two new majority guided linguistic aggregation operators are introduced, the Majority guided Linguistic Induced Ordered Weighted Averaging and weighted MLIOWA.