title: |
Evaluating Consulting Firms Using a Centroid Ranking Approach based Fuzzy MCDM Method |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 112 - 118 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
Ta-Chung Chu |
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publication date: |
July 2011 |
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keywords: |
Consulting firms, Fuzzy MCDM, Centroid,
Ranking |
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abstract: |
The purpose of this paper is to evaluate and select
consulting firms by suggesting a centroid ranking
approach based fuzzy multiple criteria decision making
(MCDM) method, where ratings of alternatives versus
qualitative criteria and the different importance weights
among criteria are assessed in linguistic values
represented by fuzzy numbers. Criteria are categorized
to qualitative, benefit quantitative and cost quantitative
ones. Membership functions of the final fuzzy
evaluation values can be developed through -cuts and
interval arithmetic. The ranking approach of Euclidean
distance based on centroid points is applied to
determine the ranking order of all alternatives. Formulas
for the ranking procedure can be clearly derived. Finally,
a numerical example is used to demonstrate the
computational process of the suggested model. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |