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Confidence levels based Pythagorean fuzzy aggregation operators and its application to decision-making process

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Abstract

Pythagorean fuzzy set, an extension of the intuitionistic fuzzy set which relax the condition of sum of their membership function to square sum of its membership functions is less than one. Under these environment and by incorporating the idea of the confidence levels of each Pythagorean fuzzy number, the present study investigated a new averaging and geometric operators namely confidence Pythagorean fuzzy weighted and ordered weighted operators along with their some desired properties. Based on its, a multi criteria decision-making method has been proposed and illustrated with an example for showing the validity and effectiveness of it. A computed results are compared with the aid of existing results.

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Authors and Affiliations

  1. School of Mathematics, Thapar University, Patiala, Punjab, 147004, India

    Harish Garg

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  1. Harish Garg
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Correspondence to Harish Garg.

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Garg, H. Confidence levels based Pythagorean fuzzy aggregation operators and its application to decision-making process. Comput Math Organ Theory 23, 546–571 (2017). https://doi.org/10.1007/s10588-017-9242-8

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