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Multi-Criteria Decision-Making Methods in Bipolar Fuzzy Environment

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Abstract

Bipolar fuzzy set theory, an extension of fuzzy set theory, deals with incomplete and vague information. The purpose of this research paper is to develop new methodologies in handling multi-criteria decision-making (MCDM) problems where the subjective data given by a decision maker are expressed with bipolar fuzzy information. Every alternative has a rating consists of two parts: positive and negative. The positive part represents the benefit (or satisfaction degree) and the negative part represents the cost (or dissatisfaction degree) of the alternative on the corresponding criterion. In this paper, we present bipolar fuzzy TOPSIS (BF-TOPSIS) method and bipolar fuzzy ELECTRE I (BF-ELECTRE I) method for solving MCDM problems that are equipped with bipolar fuzzy information. We illustrate our proposed methods with examples. We design algorithms of BF-TOPSIS method and BF-ELECTRE I method. We also give comparison of BF-TOPSIS method and BF-ELECTRE I method.

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Acknowledgements

The authors are highly thankful to an Associate Editor and referees for their valuable comments and suggestions for improving the quality of paper.

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Authors and Affiliations

  1. Department of Mathematics, Faculty of Science, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

    M. A. Alghamdi

  2. Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia

    Noura Omair Alshehri

  3. Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan

    Muhammad Akram

Authors
  1. M. A. Alghamdi
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  2. Noura Omair Alshehri
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  3. Muhammad Akram
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Correspondence to M. A. Alghamdi.

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Alghamdi, M.A., Alshehri, N.O. & Akram, M. Multi-Criteria Decision-Making Methods in Bipolar Fuzzy Environment. Int. J. Fuzzy Syst. 20, 2057–2064 (2018). https://doi.org/10.1007/s40815-018-0499-y

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