A new method for fuzzy decision-making based on likelihood-based comparison relations

In this paper, we present a new fuzzy decision-making method based on likelihood-based comparison relations. First, we introduce likelihood-based comparison relations on intervals. Then, we propose the likelihood-based comparison relations using type-1 fuzzy sets and interval type-2 fuzzy sets based...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 5; pp. 3021 - 3025
Main Authors Li-Wei Lee, Shyi-Ming Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Arithmetic
Computer science
Cybernetics
Decision making
Fuzzy decision-making
Fuzzy sets
Interval type-2 fuzzy sets
Likelihood-based comparison relations
Machine learning
Probability-based comparison relations
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Summary:In this paper, we present a new fuzzy decision-making method based on likelihood-based comparison relations. First, we introduce likelihood-based comparison relations on intervals. Then, we propose the likelihood-based comparison relations using type-1 fuzzy sets and interval type-2 fuzzy sets based on likelihood-based comparison relations on intervals. Finally, we present a new fuzzy decision-making method based on likelihood-based comparison relations using type-1 fuzzy sets and interval type-2 fuzzy sets. The evaluated values of the proposed method can either be crisp values or intervals or type-1 fuzzy sets or interval type-2 fuzzy sets. The proposed method can handle fuzzy decision-making problems in a more flexible and more intelligent manner.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212587