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Extended bipolar fuzzy EDAS approach for multi-criteria group decision-making process

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Abstract

In this paper, we apply evaluation based on distance from average solution (EDAS) approach to multiple criteria group decision-making (MCGDM) with bipolar fuzzy numbers (BFNs). We reconsider the notion of BFNs and propose its corresponding operational rules, score and accuracy functions. Further, we introduce two aggregation operators and develop an MCGDM approach based on conventional EDAS model with overall BFNs. The proposed technique is valid and accurate for considering the conflicting attributes. We analyse the proposed method by considering a numerical example for the selection of road construction company project to show the effectiveness of the developed approach. At last, we compare the developed systems with some existing operators to deliver its efficiency.

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Acknowledgements

We would like to thank the anonymous reviewers for their insightful and constructive comments and suggestions that have been helpful for providing a better version of the present work.

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  1. Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore, 721102, India

    Chiranjibe Jana & Madhumangal Pal

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  1. Chiranjibe Jana
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  2. Madhumangal Pal
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Correspondence to Chiranjibe Jana.

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Communicated by Anibal Tavares de Azevedo.

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Jana, C., Pal, M. Extended bipolar fuzzy EDAS approach for multi-criteria group decision-making process. Comp. Appl. Math. 40, 9 (2021). https://doi.org/10.1007/s40314-020-01403-4

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