Encoding words into interval type-2 fuzzy sets: the retained region approach

DOI10.1016/j.ins.2023.02.022OpenAlexW4319764887MaRDI QIDQ6127131

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Publication date: 10 April 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2023.02.022

zbMATH Keywords

computing with wordsinterval type-2 fuzzy setsperceptual computerretained region approach

Mathematics Subject Classification ID

Computer science (68-XX) Systems theory; control (93-XX)

Cites Work

• Preface: Challenges of computing with words in decision making
• The concept of a linguistic variable and its application to approximate reasoning. I
• An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment
• Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information
• A method based on PSO and granular computing of linguistic information to solve group decision making problems defined in heterogeneous contexts
• A vector similarity measure for linguistic approximation: Interval type-2 and type-1 fuzzy sets
• INDIVIDUAL AND SOCIAL STRATEGIES TO DEAL WITH IGNORANCE SITUATIONS IN MULTI-PERSON DECISION MAKING
• Type-reduction of interval type-2 fuzzy numbers via the Chebyshev inequality
• On union and intersection of type-2 fuzzy sets not expressible by the sup-t-norm extension principle

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