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Ranking generalized exponential trapezoidal fuzzy numbers based on variance

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  • Rezvani, S.

Abstract

In this paper, we calculate ranking of exponential trapezoidal fuzzy numbers based on variance. In this method, values are calculated by finding expected values using the probability density function corresponding to the membership functions of the given fuzzy number and provides the correct ordering of exponential trapezoidal fuzzy numbers and also this approach is very simple and easy to apply in the real life problems. For the validation, the results of the approach are compared with different existing approaches.

Suggested Citation

  • Rezvani, S., 2015. "Ranking generalized exponential trapezoidal fuzzy numbers based on variance," Applied Mathematics and Computation, Elsevier, vol. 262(C), pages 191-198.
    • Handle: RePEc:eee:apmaco:v:262:y:2015:i:c:p:191-198
    DOI: 10.1016/j.amc.2015.04.030
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    References listed on IDEAS

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    1. Amit Kumar & Pushpinder Singh & Amarpreet Kaur & Parmpreet Kaur, 2010. "RM approach for ranking of generalized trapezoidal fuzzy numbers," Fuzzy Information and Engineering, Springer, vol. 2(1), pages 37-47, March.
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    Cited by:

    1. Tim Lu, 2021. "A Fuzzy Network DEA Approach to the Selection of Advanced Manufacturing Technology," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    2. Meisam Nasrollahi & Jafar Razmi, 2021. "A mathematical model for designing an integrated pharmaceutical supply chain with maximum expected coverage under uncertainty," Operational Research, Springer, vol. 21(1), pages 525-552, March.
    3. Thanh-Lam Nguyen, 2017. "Methods in Ranking Fuzzy Numbers: A Unified Index and Comparative Reviews," Complexity, Hindawi, vol. 2017, pages 1-13, July.

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