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Author ORCID Identifier

Mohammad Panahi Borujeni: 0000-0002-1586-2661
Arash Behzadipour: 0000-0003-0094-1479
Hossein Gitinavard: 0000-0002-8130-1408

Abstract

With the increasing advancement of technology and science in the fields of engineering, different industries have different benefits that can help the global community in areas related to social, environmental, and economic requirements. The mining industry is one of the suitable sources of wealth production in different societies, which leads different societies to appropriate profitability. In this regard, one of the challenges facing managers and decision-makers is not related to financial challenges and risks. This research uses the dynamic intuitionistic fuzzy entropy method to compute the criteria weights, and the dynamic intuitionistic fuzzy maximizing similarity (DIF-SM) approach to compute the DMs’ weights to establish consensus dynamic intuitionistic fuzzy group decision making (DIFGDM) and dynamic intuitionistic fuzzy weighting based ideal solution (DIF-WIS) method under dynamic and fuzzy conditions to calculate the ranking of the options. In order to assess the effectiveness of the introduced approach, a real case study was used in Iran. Then, a comparative analysis regarding the relevant studies was used to represent the effectiveness of the method. The results show the reliability of the introduced model, and the final ranking outcomes are the same for both methods.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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