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1
Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics
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Consistency improvement with a feedback recommendation in personalized linguistic group decision making
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Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence ...
Abstract: Distributed linguistic representations are powerful tools for modelling the uncertainty and complexity of preference information in linguistic decision making. To provide a comprehensive perspective on the development of distributed linguistic representations in decision making, we present the taxonomy of existing distributed linguistic representations. Then, we review the key elements of distributed linguistic information processing in decision making, including the distance measurement, aggregation methods, distributed linguistic preference relations, and distributed linguistic multiple attribute decision making models. Next, we provide a discussion on ongoing challenges and future research directions from the perspective of data science and explainable artificial intelligence. ... : 37 pages ...
Keyword: Artificial Intelligence cs.AI; FOS Computer and information sciences
URL: https://arxiv.org/abs/2008.01499
https://dx.doi.org/10.48550/arxiv.2008.01499
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Revisiting Fuzzy and Linguistic Decision-Making: Scenarios and Challenges for Wiser Decisions in a Better Way
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5
Personalized individual semantics in computing with words for supporting linguistic group decision making
Li, Cong-Cong. - : Universidad de Granada, 2018
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6
Personalized individual semantics in Computing with Words for supporting linguistic Group Decision Making. An Application on Consensus reaching
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