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ArticleA method for fuzzy risk analysis based on the new similarity of trapezoidal fuzzy numbers

Zhangyan Xu2009

Article2009

A method for fuzzy risk analysis based on the new similarity of trapezoidal fuzzy numbers

Zhangyan Xu · Wenbin Qian · Wenhao Shu

126 citations·0/0 files stored·Expert Systems with Applications

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Multi-Criteria Decision Making Fuzzy and Soft Set Theory Fuzzy Systems and Optimization

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References

2005Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment 2003Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers 1996NEW METHODS FOR SUBJECTIVE MENTAL WORKLOAD ASSESSMENT AND FUZZY RISK ANALYSIS 2007A new approach for fuzzy risk analysis based on similarity measures of generalized fuzzy numbers 2005Predicting multilateral trade credit risks: comparisons of Logit and Fuzzy Logic models using ROC curve analysis

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2011A multi-attribute group decision-making method based on weighted geometric aggregation operators of interval-valued trapezoidal fuzzy numbers 2014Fuzzy risk analysis using area and height based similarity measure on generalized trapezoidal fuzzy numbers and its application 2019Risk assessment based on hybrid FMEA framework by considering decision maker’s psychological behavior character 2016An improved similarity measure for generalized fuzzy numbers and its application to fuzzy risk analysis 2012A NEW METHOD FOR RANKING TRIANGULAR FUZZY NUMBERS 2015Modification of the analytic hierarchy process (AHP) method using fuzzy logic: Fuzzy AHP approach as a support to the decision making process concerning engagement of the group for additional hindering

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Year2009

Typearticle

Published2009-08-05

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations126

Files0 public / 0

ShelfMulti-Criteria Decision Making

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doi10.1016/j.eswa.2009.07.015

openalex_workW2018675509

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2011

Multicriteria decision-making combining fuzzy set theory, ideal and anti-ideal points for location site selection

2013Some Similarity Measures for Triangular Fuzzy Number and Their Applications in Multiple Criteria Group Decision-Making