An integrated TOPSIS model with exponential intuitionistic entropy measure for multi-attribute decision-making (MADM)

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)

Preview	Pdf Springer Proceedings in Materials - Volume 40.pdf Download (165kB) | Preview
Preview	Pdf An integrated TOPSIS model with exponential intuitionistic entropy measure for multi-attribute decision-making (MADM) - INTRO.pdf Download (51kB) | Preview
	Pdf An integrated TOPSIS model with exponential intuitionistic entropy measure for multi-attribute decision-making (MADM).pdf Restricted to Repository staff only Download (130kB) | Request a copy

Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Exponential intuitionistic entropy measure; MADM; TOPSIS
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TS Manufactures
Faculty/Division:	Faculty of Manufacturing and Mechatronic Engineering Technology
Depositing User:	Miss Amelia Binti Hasan
Date Deposited:	08 Oct 2024 06:36
Last Modified:	08 Oct 2024 06:36
URI:	http://umpir.ump.edu.my/id/eprint/42771
Download Statistic:	View Download Statistics

Actions (login required)

View Item