| Autor: |
Muhammad Sarwar Sindhu, Imran Siddique, Muhammad Ahsan, Fahd Jarad, Taner Altunok |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Mathematical Problems in Engineering. |
| ISSN: |
1024-123X |
| DOI: |
10.1155/2022/8442123 |
| Popis: |
Because of its influence on various elements of human life experiences and conditions, the building industry is a significant business. In the recent past, environmental considerations have been incorporated in the design and planning stages of building supply chains. The process of evaluating and selecting suppliers is one of the most important issues in supply chain management. A multicriteria decision-making (MCDM) problem can be utilized to handle such issues. The goal of this research is to present a new and efficient technique for selecting suppliers with ambiguous data. The suggested methodology’s structure is based on technology for order of preference by similarity to ideal solution (TOPSIS), with Fermatean fuzzy sets ( F r FSs) employed to cope with information uncertainty. In this article, authors modified the distance between F r FSs to propose the similarity measure and implemented it to form the MCDM model to resolve the vague and uncertain data. Moreover, we used this similarity measure to choose the optimal alternative. A practical example for alternative selection is provided, along with a comparison of the acquired findings to existing approach. Finally, to strengthen the outcome obtained through the proposed model, sensitivity analysis and time complexity analysis are performed. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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