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Ranking of trapezoidal intuitionistic fuzzy numbers | IEEE Conference Publication | IEEE Xplore

Ranking of trapezoidal intuitionistic fuzzy numbers


Abstract:

Techniques for ranking simple fuzzy numbers are abundant in nature. However, we lack effective methods for ranking intuitionistic fuzzy numbers(IFN). The aim of this pape...Show More

Abstract:

Techniques for ranking simple fuzzy numbers are abundant in nature. However, we lack effective methods for ranking intuitionistic fuzzy numbers(IFN). The aim of this paper is to introduce a new ranking procedure for trapezoidal intuitionistic fuzzy number(TRIFN). To serve the purpose, the value and ambiguity index of TRIFNs have been defined. In order to rank TRIFNs, we have defined a ranking function by taking sum of value and ambiguity index. To illustrate the the proposed ranking method a numerical example has been given.
Date of Conference: 27-29 November 2012
Date Added to IEEE Xplore: 24 January 2013
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Conference Location: Kochi, India

References

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