A new approach for fuzzy risk analysis based on similarity by using decision making approach

H. Haleh, H. Akbrzade Khorshidi, S. M. Hoseini

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)

Abstract

Generating an appropriate method for finding the most similar fuzzy number by desired fuzzy number is obtained a significant importance. To actualize this goal, different methods are proposed for determination of fuzzy similarity amount. In this paper, first a new similarity method between generalized trapezoidal fuzzy numbers is presented based on TOPSIS approach. It can combine some of these different methods for selection the most similar fuzzy number. After that this new method is utilized for completion a new fuzzy risk analysis algorithm. At last, these two new methods are illustrated by using an example.

Original languageEnglish
Title of host publication5th IEEE International Conference on Management of Innovation and Technology, ICMIT2010
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1112-1117
Number of pages6
ISBN (Print)9781424465675
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventManagement of Innovation and Technology International Conference 2010 - Singapore, Singapore
Duration: 2 Jun 20105 Jun 2010
https://ieeexplore.ieee.org/xpl/conhome/5481670/proceeding (Proceedings)

Conference

ConferenceManagement of Innovation and Technology International Conference 2010
Abbreviated titleICMIT 2010
Country/TerritorySingapore
CitySingapore
Period2/06/105/06/10
Internet address

Keywords

  • Fuzzy risk analysis
  • Similarity
  • TOPSIS approach

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