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Extended TOPSIS Model for Solving Multi-Attribute Decision Making Problems in Engineering

Aikhuele, Daniel Osezua and Faiz, Mohd Turan (2017) Extended TOPSIS Model for Solving Multi-Attribute Decision Making Problems in Engineering. Decision Science Letters, 6. pp. 365-376. ISSN 1929-5804 (Print); 1929-5812 (Online)

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In this paper, we propose an exponential-related function (ER) and develop an intuitionistic fuzzy TOPSIS model based on the function (IF-TOPSISEF) to solve multi-attribute decision making (MADM) problems in which the performance ratings are expressed in intuitionistic fuzzy sets (IFSs). The main advantage of this new approach is that the exponential-related function is able to represent the aggregated effect of the positive and negative evaluations in the performance ratings of alternatives based on the intuitionistic fuzzy set (IFS) data. It also serves as a mean for the computations of the separation measures of each alternative from the intuitionistic fuzzy positive and negative ideal solutions to determine the relative closeness coefficients. To demonstrate the effectiveness of the proposed method, the proposed IFTOPSISEF is applied for the evaluation of the concept designs of a part in an HDD machine (The drill pipe slider), and for some hypothetical examples.

Item Type: Article
Uncontrolled Keywords: TOPSIS; Extended topsis; Intuitionistic fuzzy TOPSIS
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Ms. Siti Nur Sahidah Ahmad
Date Deposited: 17 May 2017 02:21
Last Modified: 09 Feb 2018 08:19
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