An Improved EDAS Method Based on Bipolar Neutrosophic Set and Its Application in Group Decision-Making. (15th October 2021)
- Record Type:
- Journal Article
- Title:
- An Improved EDAS Method Based on Bipolar Neutrosophic Set and Its Application in Group Decision-Making. (15th October 2021)
- Main Title:
- An Improved EDAS Method Based on Bipolar Neutrosophic Set and Its Application in Group Decision-Making
- Authors:
- Irvanizam, Irvanizam
Syahrini, Intan
Zi, Nawar Nabila
Azzahra, Natasya
Iqbal, Muhd
Marzuki, Marzuki
Subianto, Muhammad - Other Names:
- Minutolo Aniello Academic Editor.
- Abstract:
- Abstract : 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.
- Is Part Of:
- Applied computational intelligence and soft computing. Volume 2021(2021)
- Journal:
- Applied computational intelligence and soft computing
- Issue:
- Volume 2021(2021)
- Issue Display:
- Volume 2021, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 2021
- Issue Sort Value:
- 2021-2021-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-10-15
- Subjects:
- Computational intelligence -- Periodicals
Soft computing -- Periodicals
006.305 - Journal URLs:
- https://www.hindawi.com/journals/acisc/ ↗
- DOI:
- 10.1155/2021/1474629 ↗
- Languages:
- English
- ISSNs:
- 1687-9724
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 19894.xml