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2022 | 32 | 1 | 49-71

Article title

An algorithm for quadratically constrained multi-objective quadratic fractional programming with pentagonal fuzzy numbers

Content

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EN

Abstracts

EN
This study proposes a methodology to obtain an efficient solution for a programming model which is multi-objective quadratic fractional with pentagonal fuzzy numbers as coefficients in all the objective functions and constraints. The proposed approach consists of three stages. In the first stage, defuzzification of the coefficients is carried out using the mean method of α-cut. Then, in the second stage, a crisp multi-objective quadratic fractional programming model (MOQFP) is constructed to obtain a non-fractional model based on an iterative parametric approach. In the final stage, this multi-objective non-fractional model is transformed to obtain a model with a single objective by applying the ε-constraint method. This final model is then solved to get desired solution. Also, an algorithm and flowchart expressing the methodology are given to present a clear picture of the approach. Finally, a numerical example illustrating the complete approach is given.

Year

Volume

32

Issue

1

Pages

49-71

Physical description

Contributors

author
  • Department of Mathematics, Maharishi Markandeshwar, Mullana-Ambala, India
author
  • Department of Mathematics, Maharishi Markandeshwar, Mullana-Ambala, India
author
  • Department of Mathematics, Maharishi Markandeshwar, Mullana-Ambala, India

References

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Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-62a3cbe6-32c1-45c9-b2d1-ad5f9dbba5cb
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