An integrated TOPSIS model with exponential intuitionistic entropy measure for multi-attribute decision-making (MADM)
The determination of attribute weights in solving multi-attribute decision-making (MADM) problems is crucial and significantly impacts the results. Many researchers have highlighted the effectiveness of deriving attribute weights objectively based on the assessments provided by decision-makers for M...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English English |
| Published: |
Springer Singapore
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42771/1/Springer%20Proceedings%20in%20Materials%20-%20Volume%2040.pdf http://umpir.ump.edu.my/id/eprint/42771/2/An%20integrated%20TOPSIS%20model%20with%20exponential%20intuitionistic%20entropy%20measure%20for%20multi-attribute%20decision-making%20%28MADM%29%20-%20INTRO.pdf http://umpir.ump.edu.my/id/eprint/42771/3/An%20integrated%20TOPSIS%20model%20with%20exponential%20intuitionistic%20entropy%20measure%20for%20multi-attribute%20decision-making%20%28MADM%29.pdf http://umpir.ump.edu.my/id/eprint/42771/ https://doi.org/10.1007/978-981-99-9848-7_6 |
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| Summary: | The determination of attribute weights in solving multi-attribute decision-making (MADM) problems is crucial and significantly impacts the results. Many researchers have highlighted the effectiveness of deriving attribute weights objectively based on the assessments provided by decision-makers for MADM problems. One approach involves using entropy measures to determine weights based on the given ratings. This paper introduces a novel intuitionistic fuzzy entropy measure that takes the form of an exponential function. This new entropy measure is combined with the TOPSIS method to propose a new decision-making method for solving MADM problems. The proposed method does not require attribute weights, thereby eliminating the need for their determination. |
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