Fuzzy risk analysis based on interval-valued fuzzy numbers

2009 ◽  
Vol 36 (2) ◽  
pp. 2285-2299 ◽  
Author(s):  
Shih-Hua Wei ◽  
Shyi-Ming Chen
Keyword(s):  
Risk Analysis ◽  
Fuzzy Numbers ◽  
Fuzzy Risk Analysis ◽  
Interval Valued

scholarly journals The Interval-Valued Trapezoidal Approximation of Interval-Valued Fuzzy Numbers and Its Application in Fuzzy Risk Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-22 ◽  
Author(s):  
Zengtai Gong ◽  
Shexiang Hai
Keyword(s):  
Risk Analysis ◽  
Fuzzy Number ◽  
Fuzzy Numbers ◽  
Approximation Operator ◽  
Weighted Distance ◽  
Trapezoidal Fuzzy Number ◽  
The Core ◽  
Fuzzy Risk Analysis ◽  
The Given ◽  
Interval Valued

Taking into account that interval-valued fuzzy numbers can provide more flexibility to represent the imprecise information and interval-valued trapezoidal fuzzy numbers are widely used in practice, this paper devotes to seek an approximation operator that produces an interval-valued trapezoidal fuzzy number which is the nearest one to the given interval-valued fuzzy number, and the approximation operator preserves the core of the original interval-valued fuzzy number with respect to the weighted distance. As an application, we use the interval-valued trapezoidal approximation to handle fuzzy risk analysis problems, which overcome the drawback of existing fuzzy risk analysis methods.

Fuzzy risk analysis based on ranking generalized fuzzy numbers with different left heights and right heights

2012 ◽  
Vol 39 (7) ◽  
pp. 6320-6334 ◽  
Author(s):  
Shyi-Ming Chen ◽  
Abdul Munif ◽  
Guey-Shya Chen ◽  
Hsiang-Chuan Liu ◽  
Bor-Chen Kuo
Keyword(s):  
Risk Analysis ◽  
Fuzzy Numbers ◽  
Fuzzy Risk Analysis ◽  
Generalized Fuzzy Numbers

scholarly journals Evaluating the Efficiency of School Preceptors by Fuzzy Risk Analysis

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Rasoul Saneifard ◽  
Rahim Saneifard
Keyword(s):  
Risk Analysis ◽  
Fuzzy Number ◽  
Fuzzy Numbers ◽  
New Method ◽  
Arithmetic Operations ◽  
Fuzzy Risk Analysis ◽  
Fuzzy Weights

This paper presents a new method for evaluating the efficiency of school preceptors based on fuzzy number arithmetic operations. It uses fuzzy numbers to represent fuzzy grades. The fuzzy weights of criteria are automatically generated from the opinions of evaluators. The simplified fuzzy number arithmetic operations are used for calculating the average of fuzzy numbers. It can evaluate the efficiency of school preceptors in a more flexible and more intelligent manner.

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