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Decision-Making Problem Based on Confidence Intuitionistic Trapezoidal Fuzzy Einstein Aggregation Operators and Their Application

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  • Khaista Rahman

    (Department of Mathematics, Shaheed Benazir Bhutto University, Sheringal, Pakistan)

Abstract

Confidence level plays an important role in decision making in daily life. Therefore, the focus of our paper is to develop the idea of confidence level. With the help of confidence level in this paper, we explore some new operators, namely confidence intuitionistic trapezoidal fuzzy Einstein weighted averaging (abbreviated as CITFEWA) operator, confidence intuitionistic trapezoidal fuzzy Einstein ordered weighted averaging (abbreviated as CITFEOWA) operator, confidence intuitionistic trapezoidal fuzzy Einstein hybrid averaging (abbreviated as CITFEHA) operator, confidence intuitionistic trapezoidal fuzzy Einstein weighted geometric (abbreviated as CITFEWG) operator, confidence intuitionistic trapezoidal fuzzy Einstein ordered weighted geometric (abbreviated as CITFEOWG) operator and confidence intuitionistic trapezoidal fuzzy Einstein hybrid geometric (abbreviated as CITFEHG) operator. The benefit of the confidence approaches is that these techniques not only deliver evidence of the problems to the experts, but these operators and methods also develop the grades of the decision makers of that these experts are familiar with the option for the selection. To develop the proposed operators, we investigate and study some of their basic properties. To show the importance and efficiency of the new methods, these methods are applied to decision making. Lastly, an example is given for the confirmation of the viability and availability of the proposed approaches and methods.

Suggested Citation

  • Khaista Rahman, 2022. "Decision-Making Problem Based on Confidence Intuitionistic Trapezoidal Fuzzy Einstein Aggregation Operators and Their Application," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 219-250, March.
    • Handle: RePEc:wsi:nmncxx:v:18:y:2022:i:01:n:s1793005722500132
    DOI: 10.1142/S1793005722500132
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