International Journal of Computational Intelligence Systems

Volume 2, Issue 3, December 2009, Pages 219 - 235

An Alternative Ranking Approach and Its Usage in Multi-Criteria Decision-Making

Authors
Cengiz Kahraman, A. Cagri Tolga
Corresponding Author
Cengiz Kahraman
Available Online 1 December 2009.
DOI
https://doi.org/10.2991/ijcis.2009.2.3.4How to use a DOI?
Keywords
Fuzzy numbers, ranking, decision-making, TOPSIS, scoring, AHP.
Abstract
In the process of fuzzy decision-making, ranking of fuzzy numbers is a necessity. The types of fuzzy numbers are triangular, trapezoidal, and L-R type. In the literature, there are many methods developed for ranking fuzzy numbers. These methods may produce different ranking results. Many of these methods necessitate graphical representations, complex and tedious calculations. The method developed in this paper has some advantages with respect to the other methods in both graphical representations and calculations. Applicability of the proposed method to multi-criteria decision-making methods, i.e. fuzzy scoring, fuzzy AHP and fuzzy TOPSIS methods, is shown in the paper.
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This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
2 - 3
Pages
219 - 235
Publication Date
2009/12
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2009.2.3.4How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Cengiz Kahraman
AU  - A. Cagri Tolga
PY  - 2009
DA  - 2009/12
TI  - An Alternative Ranking Approach and Its Usage in Multi-Criteria Decision-Making
JO  - International Journal of Computational Intelligence Systems
SP  - 219
EP  - 235
VL  - 2
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2009.2.3.4
DO  - https://doi.org/10.2991/ijcis.2009.2.3.4
ID  - Kahraman2009
ER  -