Analyzing fuzzy risk based on a new fuzzy ranking method between generalized fuzzy numbers

Authors:
Shyi-Ming Chen;Kata Sanguansat
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC;Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 5
Cited 10

A new approach for ranking fuzzy numbers by distance method

Fuzzy Sets and Systems
Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers

Applied Intelligence
Fuzzy risk analysis based on interval-valued fuzzy numbers

Expert Systems with Applications: An International Journal
Fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads

Expert Systems with Applications: An International Journal
Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers

IEEE Transactions on Fuzzy Systems

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

Expert Systems with Applications: An International Journal
A note on ranking generalized fuzzy numbers

Expert Systems with Applications: An International Journal
Analyzing the ranking method for L-R fuzzy numbers based on deviation degree

Computers and Industrial Engineering
Correlation coefficient of linguistic variables and its applications to quantifying relations in imprecise management data

Engineering Applications of Artificial Intelligence
A hybrid approach to failure analysis using stochastic petri nets and ranking generalized fuzzy numbers

Advances in Fuzzy Systems - Special issue on Real-Life Applications of Fuzzy Logic
A type-2 linguistic set theory and its application to multi-criteria decision making

Computers and Industrial Engineering
Fuzzy MaxGWMA chart for identifying abnormal variations of on-line manufacturing processes with imprecise information

Expert Systems with Applications: An International Journal
Risk analysis of combustion system using vague ranking method

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Fuzzy risk analysis based on a geometric ranking method for generalized trapezoidal fuzzy numbers

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Developing a model for integrating decisions in technology roadmapping by fuzzy PROMETHEE

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Quantified Score

Hi-index	12.06

Visualization

Abstract

In this paper, we present a new method for analyzing fuzzy risk based on a new method for ranking generalized fuzzy numbers. First, we present a new method for ranking generalized fuzzy numbers. It considers the areas on the positive side, the areas on the negative side and the heights of the generalized fuzzy numbers to evaluate ranking scores of the generalized fuzzy numbers. The proposed method can overcome the drawbacks of some existing methods for ranking generalized fuzzy numbers. Then, we apply the proposed method for ranking generalized fuzzy numbers to develop a new method for dealing with fuzzy risk analysis problems. The proposed method provides us with a useful way to deal with fuzzy risk analysis problems based on generalized fuzzy numbers.