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AIMS Mathematics

2023, Volume 8, Issue 8: 19240-19263. doi: 10.3934/math.2023981
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Research article

Bipolar complex fuzzy credibility aggregation operators and their application in decision making problem

  • 1.
    Department of Mathematics, Riphah International University Faisalabad Campus, Pakistan
  • 2.
    Department of Mathematics Deanship of Applied Sciences Umm Al-Qura University, Makkah, Saudi Arabia
  • 3.
    Department of Mathematics, Abdul Wali khan University Mardan, KP, Pakistan
  • 4.
    Programme of Mathematics, Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu, 21030 Kuala Nerus Terengganu, Malaysia
  • Received: 07 March 2023 Revised: 26 April 2023 Accepted: 01 May 2023 Published: 07 June 2023

  • MSC : 03E72, 47S40

  • A bipolar complex fuzzy credibility set (BCFCS) is a new approach in computational intelligence and decision-making under uncertainty. Bipolar complex fuzzy credibility (BCFC) information has been employed as a strategy for dealing with confusing and unreliable situations that arise in everyday life. In this paper, we used the concept of aggregation operators to diagnose the well-known averaging and geometric aggregation operators, as well as evaluate some properties and related results. Using described operators, an algorithm for multiple criteria group decision making is proposed. Then, a numerical example of a case study of Hospital selection is discussed. Lastly, the comparative analysis of suggested operators with existing operators are also given to discuss the rationality, efficiency and applicability of these operators.

    Citation: Muhammad Qiyas, Muhammad Naeem, Neelam Khan, Lazim Abdullah. Bipolar complex fuzzy credibility aggregation operators and their application in decision making problem[J]. AIMS Mathematics, 2023, 8(8): 19240-19263. doi: 10.3934/math.2023981

    Related Papers:

  • A bipolar complex fuzzy credibility set (BCFCS) is a new approach in computational intelligence and decision-making under uncertainty. Bipolar complex fuzzy credibility (BCFC) information has been employed as a strategy for dealing with confusing and unreliable situations that arise in everyday life. In this paper, we used the concept of aggregation operators to diagnose the well-known averaging and geometric aggregation operators, as well as evaluate some properties and related results. Using described operators, an algorithm for multiple criteria group decision making is proposed. Then, a numerical example of a case study of Hospital selection is discussed. Lastly, the comparative analysis of suggested operators with existing operators are also given to discuss the rationality, efficiency and applicability of these operators.


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  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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