Fuzzy risk analysis based on similarity measures between interval-valued fuzzy numbers and interval-valued fuzzy number arithmetic operators

Shyi‐Ming Chen; Jim-Ho Chen

doi:10.1016/j.eswa.2008.08.017

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Fuzzy risk analysis based on similarity measures between interval-valued fuzzy numbers and interval-valued fuzzy number arithmetic operators

Shyi‐Ming Chen Jim-Ho Chen

Year: 2008 Journal: Expert Systems with Applications Vol: 36 (3)Pages: 6309-6317 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2008.08.017

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Keywords:

Fuzzy number Mathematics Fuzzy logic Fuzzy measure theory Fuzzy mathematics Fuzzy set operations Fuzzy classification Type-2 fuzzy sets and systems Defuzzification Fuzzy set Interval (graph theory) Similarity (geometry) Measure (data warehouse) Similarity measure Arithmetic Discrete mathematics Algorithm Data mining Artificial intelligence Computer science Combinatorics

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Multi-Criteria Decision Making

Social Sciences → Decision Sciences → Management Science and Operations Research

Fuzzy Systems and Optimization

Physical Sciences → Mathematics → Statistics and Probability

Risk and Portfolio Optimization

Social Sciences → Decision Sciences → Management Science and Operations Research

Fuzzy risk analysis based on similarity measures between interval-valued fuzzy numbers and interval-valued fuzzy number arithmetic operators

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