Ranking L-R Fuzzy Numbers with Weighted Averaging Based on Levels

ranking l-r fuzzy numbers with weighted averaging based on levels

ranking l-r fuzzy numbers with weighted averaging based on levels

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Ranking L-R Fuzzy Numbers with Weighted Averaging Based on Levels

|||||||||||||||||||||||||||||||Abstract In this paper, the researcher proposes a modi ed new method to rank L-R fuzzy numbers. The modi ed method uses a defuzzi cation of parametrically represented fuzzy numbers that have been studied in [20]. This parameterized defuzzi cation can be used as a crisp approximation with respect to a fuzzy quantity. In this article, the researcher uses this defuzz...

On The Ranking Fuzzy Numbers Using Weighted Metric

Analyzing the ranking method for L-R fuzzy numbers based on deviation degree

Article history: Received 3 November 2011 Received in revised form 16 March 2012 Accepted 30 June 2012 Available online 1 September 2012

Ranking Fuzzy Numbers Using a-Weighted Valuations

We studied here on some simple examples the interaction between valuation family, parameters and ranking result. The ranking method studied is based upon the idea of associating with a fuzzy number a scalar value, its valuation, and using this valuation to compare and order fuzzy numbers. The valuation method considered was introduced initially by the Yager and Filev. This valuation consists in...