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Generalized and group-based generalized intuitionistic fuzzy soft sets with applications in decision-making

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Abstract

Intuitionistic fuzzy soft set (IFSS) theory acts as a fundamental tool for handling the uncertainty in the data by adding a parameterizing factor during the process as compared to fuzzy and intuitionistic fuzzy set (IFS) theories. In this paper, an attempt has been made to this effect to describe the concept of generalized IFSS (GIFSS), as well as the group-based generalized intuitionistic fuzzy soft set (GGIFSS) in which the evaluation of the object is done by the group of experts rather than a single expert. Based on this information, a new weighted averaging and geometric aggregation operator has been proposed by taking the intuitionistic fuzzy parameter. Finally, a decision-making approach based on the proposed operator is being built to solve the problems under the intuitionistic fuzzy environment. An illustrative example of the selection of the optimal alternative has been given to show the developed method. Comparison analysis between the proposed and the existing operators have been performed in term of counter-intuitive cases for showing the superiority of the approach.

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Authors and Affiliations

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

    Harish Garg & Rishu Arora

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  1. Harish Garg
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  2. Rishu Arora
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Correspondence to Harish Garg.

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Garg, H., Arora, R. Generalized and group-based generalized intuitionistic fuzzy soft sets with applications in decision-making. Appl Intell 48, 343–356 (2018). https://doi.org/10.1007/s10489-017-0981-5

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