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

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

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 ad...

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Main Authors: Aikhuele, Daniel Osezua, Faiz, Mohd Turan
Format: Article
Language:English
Published: Growing Science Ltd. 2017
Subjects:
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/17126/
http://umpir.ump.edu.my/id/eprint/17126/
http://umpir.ump.edu.my/id/eprint/17126/
http://umpir.ump.edu.my/id/eprint/17126/1/Extended%20TOPSIS%20model%20for%20solving%20multi-attribute%20decision%20making%20problems%20in%20engineering.pdf
id ump-17126
recordtype eprints
spelling ump-171262018-02-09T08:19:43Z http://umpir.ump.edu.my/id/eprint/17126/ Extended TOPSIS Model for Solving Multi-Attribute Decision Making Problems in Engineering Aikhuele, Daniel Osezua Faiz, Mohd Turan TS Manufactures 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. Growing Science Ltd. 2017 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/17126/1/Extended%20TOPSIS%20model%20for%20solving%20multi-attribute%20decision%20making%20problems%20in%20engineering.pdf 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) http://dx.doi.org/10.5267/j.dsl.2017.2.002 doi: 10.5267/j.dsl.2017.2.002
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TS Manufactures
spellingShingle TS Manufactures
Aikhuele, Daniel Osezua
Faiz, Mohd Turan
Extended TOPSIS Model for Solving Multi-Attribute Decision Making Problems in Engineering
description 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.
format Article
author Aikhuele, Daniel Osezua
Faiz, Mohd Turan
author_facet Aikhuele, Daniel Osezua
Faiz, Mohd Turan
author_sort Aikhuele, Daniel Osezua
title Extended TOPSIS Model for Solving Multi-Attribute Decision Making Problems in Engineering
title_short Extended TOPSIS Model for Solving Multi-Attribute Decision Making Problems in Engineering
title_full Extended TOPSIS Model for Solving Multi-Attribute Decision Making Problems in Engineering
title_fullStr Extended TOPSIS Model for Solving Multi-Attribute Decision Making Problems in Engineering
title_full_unstemmed Extended TOPSIS Model for Solving Multi-Attribute Decision Making Problems in Engineering
title_sort extended topsis model for solving multi-attribute decision making problems in engineering
publisher Growing Science Ltd.
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/17126/
http://umpir.ump.edu.my/id/eprint/17126/
http://umpir.ump.edu.my/id/eprint/17126/
http://umpir.ump.edu.my/id/eprint/17126/1/Extended%20TOPSIS%20model%20for%20solving%20multi-attribute%20decision%20making%20problems%20in%20engineering.pdf
first_indexed 2023-09-18T22:23:25Z
last_indexed 2023-09-18T22:23:25Z
_version_ 1777415807331991552

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