An Improved EDAS Method Based on Bipolar Neutrosophic Set and Its Application in Group Decision-Making | Zendy

Irvanizam Irvanizam | Zendy; Intan Syahrini | Zendy; Nawar Nabila Zi | Zendy; Natasya Azzahra | Zendy; Muhd Iqbal | Zendy; Marzuki Marzuki | Zendy; Muhammad Subianto | Zendy

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An Improved EDAS Method Based on Bipolar Neutrosophic Set and Its Application in Group Decision-Making

Author(s) -

Irvanizam Irvanizam,

Intan Syahrini,

Nawar Nabila Zi,

Natasya Azzahra,

Muhd Iqbal,

Marzuki Marzuki,

Muhammad Subianto

Publication year - 2021

Publication title -

applied computational intelligence and soft computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.371

H-Index - 10

eISSN - 1687-9732

pISSN - 1687-9724

DOI - 10.1155/2021/1474629

Subject(s) - edas , vagueness , group decision making , computer science , ranking (information retrieval) , set (abstract data type) , stability (learning theory) , artificial intelligence , data mining , machine learning , fuzzy logic , estimation of distribution algorithm , political science , law , programming language

The bipolar neutrosophic set is a suitable instrument to tackle the information with vagueness, complexity, and uncertainty. In this study, we improved the original EDAS (the evaluation based on distance from average solution) with bipolar neutrosophic numbers (BNNs) for a multiple-criteria group decision-making (MCGDM) problem. We calculated the average solution under all the criteria by two existing aggregation operators of BNNs. Then, we computed the positive distance and the negative distance from each alternative to the average ideal solution and determined the appraisal score of alternatives. Based on these scores, we obtained the ranking result. Finally, we demonstrated the practicability, stability, and capability of the improved EDAS method by analyzing the influence parameters and comparing results with an extended VIKOR method.

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