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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: Omar, Ayasrah, Faiz, Mohd Turan, Sheikh Muhammad Hafiz Fahami, Zaina
Format: Conference or Workshop Item
Language:English
English
English
Published: Springer Singapore 2024
Subjects:
TJ Mechanical engineering and machinery
TS Manufactures
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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spelling my.ump.umpir.427712024-10-08T06:36:06Z http://umpir.ump.edu.my/id/eprint/42771/ An integrated TOPSIS model with exponential intuitionistic entropy measure for multi-attribute decision-making (MADM) Omar, Ayasrah Faiz, Mohd Turan Sheikh Muhammad Hafiz Fahami, Zaina TJ Mechanical engineering and machinery TS Manufactures 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. Springer Singapore 2024 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42771/1/Springer%20Proceedings%20in%20Materials%20-%20Volume%2040.pdf pdf en 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 pdf en 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 Omar, Ayasrah and Faiz, Mohd Turan and Sheikh Muhammad Hafiz Fahami, Zaina (2024) An integrated TOPSIS model with exponential intuitionistic entropy measure for multi-attribute decision-making (MADM). In: Springer Proceedings in Materials. Intelligent Manufacturing and Mechatronics, iM3F 2023 , 7 – 8 August , Pekan, Malaysia. pp. 59-69., 40. ISSN 2662-3161 ISBN 978-981-99-9847-0 (Published) https://doi.org/10.1007/978-981-99-9848-7_6
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
English
topic TJ Mechanical engineering and machinery
TS Manufactures
spellingShingle TJ Mechanical engineering and machinery
TS Manufactures
Omar, Ayasrah
Faiz, Mohd Turan
Sheikh Muhammad Hafiz Fahami, Zaina
An integrated TOPSIS model with exponential intuitionistic entropy measure for multi-attribute decision-making (MADM)
description 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.
format Conference or Workshop Item
author Omar, Ayasrah
Faiz, Mohd Turan
Sheikh Muhammad Hafiz Fahami, Zaina
author_facet Omar, Ayasrah
Faiz, Mohd Turan
Sheikh Muhammad Hafiz Fahami, Zaina
author_sort Omar, Ayasrah
title An integrated TOPSIS model with exponential intuitionistic entropy measure for multi-attribute decision-making (MADM)
title_short An integrated TOPSIS model with exponential intuitionistic entropy measure for multi-attribute decision-making (MADM)
title_full An integrated TOPSIS model with exponential intuitionistic entropy measure for multi-attribute decision-making (MADM)
title_fullStr An integrated TOPSIS model with exponential intuitionistic entropy measure for multi-attribute decision-making (MADM)
title_full_unstemmed An integrated TOPSIS model with exponential intuitionistic entropy measure for multi-attribute decision-making (MADM)
title_sort integrated topsis model with exponential intuitionistic entropy measure for multi-attribute decision-making (madm)
publisher Springer Singapore
publishDate 2024
url 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
_version_ 1822924706158739456
score 13.235362

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