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RM approach for ranking of generalized trapezoidal fuzzy numbers

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Fuzzy Information and Engineering

Abstract

Ranking of fuzzy numbers play an important role in decision making, optimization and forecasting etc. Fuzzy numbers must be ranked before an action is taken by a decision maker. In this paper, with the help of several counter examples, it is proved that ranking method proposed by Chen and Chen (Expert Systems with Applications 36 (3): 6833) is incorrect. The main aim of this paper is to propose a new approach for the ranking of generalized trapezoidal fuzzy numbers. The proposed ranking approach is based on rank and mode so it is named as an RM approach. The main advantage of the proposed approach is that the proposed approach provides the correct ordering of generalized and normal trapezoidal fuzzy numbers and also the proposed approach is very simple and easy to apply in the real life problems. It is shown that proposed ranking function satisfies all the reasonable properties of fuzzy quantities proposed by Wang and Kerre (Fuzzy Sets and Systems 118 (3): 375).

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Authors and Affiliations

  1. School of Mathematics and Computer Applications, Thapar University, Patiala, 147004, India

    Amit Kumar, Pushpinder Singh, Amarpreet Kaur & Parmpreet Kaur

Authors
  1. Amit Kumar
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  2. Pushpinder Singh
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  3. Amarpreet Kaur
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  4. Parmpreet Kaur
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Corresponding authors

Correspondence to Amit Kumar, Pushpinder Singh, Amarpreet Kaur or Parmpreet Kaur.

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Kumar, A., Singh, P., Kaur, A. et al. RM approach for ranking of generalized trapezoidal fuzzy numbers. Fuzzy Inf. Eng. 2, 37–47 (2010). https://doi.org/10.1007/s12543-010-0036-7

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  • DOI: https://doi.org/10.1007/s12543-010-0036-7

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