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

نویسنده

  • R. Saneifard
چکیده

|||||||||||||||||||||||||||||||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 defuzzi cation for ordering fuzzy numbers. The modi ed method can e ectively rank various fuzzy numbers and their images and overcome the shortcomings of the previous techniques. This study also uses some comparative examples to illustrate the advantages of the proposed method.

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تاریخ انتشار 2009