UMP Institutional Repository

A Review of Multi-criteria Decision-Making Methods Using Application of Variable Weight Theory and IF-TOPSIS-EF

Ayasrah, Omar and Faiz, Mohd Turan (2021) A Review of Multi-criteria Decision-Making Methods Using Application of Variable Weight Theory and IF-TOPSIS-EF. In: Recent Trends in Mechatronics Towards Industry 4.0. Springer, pp. 13-24. ISBN 978-981-15-9505-9

[img] Pdf
A Review of Multi-criteria Decision-Making Methods Using Application.pdf
Restricted to Repository staff only

Download (847kB) | Request a copy

Abstract

The importance of the multi-criteria decision-making field is reflected by the high number of related researches mainly in the last decade. Even though, this field still has challenges that require attention from researchers in future studies. Most of multi-criteria decision-making studies either have not considered determining decision maker’s weights or applied subjective methods to derive these weights. Also, the absence of implementing sensitivity analysis to the decision maker’s weights is noticed. Furthermore, there is a need to develop new methods that utilizing the web or mobile technologies to deal with complexity and uncertainty adhered to multi-criteria decision-making problems. This paper represents the methodology to conduct a research that aims to combine two methods (IFS-TOPSIS-exponential based and Variable Weight Theory) in a new technique that tackles the abovementioned gaps by following induction research approach to validate the new technique by utilizing the secondary data, then to use interviews to develop the mobile application algorithm to perform solving MCDM problems virtually.

Item Type: Book Section
Additional Information: Lecture Notes in Mechanical Engineering
Uncontrolled Keywords: MCDM, Decision maker’s weights, Criteria weights, Variable weight theory
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Institute of Postgraduate Studies
Faculty of Manufacturing and Mechatronic Engineering Technology
Depositing User: Noorul Farina Arifin
Date Deposited: 13 Aug 2021 02:06
Last Modified: 13 Aug 2021 02:15
URI: http://umpir.ump.edu.my/id/eprint/31818
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item