An approach based on combining Choquet integral and TOPSIS methods to uncertain MAGDM problems
| Autor: | Hassan Mishmast Nehi, Harish Garg, Abazar Keikha |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Process (engineering) Computer science Group (mathematics) Intuitionistic fuzzy Computational intelligence TOPSIS 02 engineering and technology Theoretical Computer Science 020901 industrial engineering & automation Choquet integral 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Geometry and Topology Software Real number |
| Zdroj: | Soft Computing. 25:7181-7195 |
| ISSN: | 1433-7479 1432-7643 |
| DOI: | 10.1007/s00500-021-05682-9 |
| Popis: | In this paper, we considered the defined intuitionistic fuzzy numbers (IFNs) on real numbers and proposed a new method based on Hamacher operators to operate with membership and non-membership degrees of the given IFN in aggregation process. Also, a new method will be introduced to compute the distance between IFNs. These methods will be applied to solve multi-attribute group decision-making (MAGDM) problems, in which IFNs were used to model the arising uncertainty from human judgments or assessments. To do it, Choquet integral, as a powerful tool in both independent and interactive criteria, will be used individually or as a tool to provide appropriate conditions for application of TOPSIS method. The applicability of these methods is illustrated by numerical examples. |
| Databáze: | OpenAIRE |
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