International Journal of Computational Intelligence Systems

Volume 8, Issue 4, August 2015, Pages 637 - 666

Fuzzy Multicriteria Decision-Making: A Literature Review

Authors
Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi
Corresponding Author
Cengiz Kahraman
Received 13 October 2014, Accepted 17 March 2015, Available Online 1 August 2015.
DOI
10.1080/18756891.2015.1046325How to use a DOI?
Keywords
Multicriteria, multiobjective, multiattribute, fuzzy decision making, classification
Abstract

Multicriteria decision-making (MCDM) refers to making decisions in the presence of multiple and usually conflicting criteria. Fuzzy decision-making is used where vague and incomplete data exist for the solution. Fuzzy multicriteria decision-making is one of the most popular problems handled by the researchers in the literature. In this paper, we survey the latest status of fuzzy multicriteria decision-making methods and classify these methods dividing into two parts: fuzzy multiattribute decision-making (MADM) and fuzzy multiobjective decision-making (MODM). Most of the publications are on fuzzy MADM since there are a plenty of classical multiattribute decision-making methods in the literature. Tabular and graphical illustrations for each method are given.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
8 - 4
Pages
637 - 666
Publication Date
2015/08/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2015.1046325How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Cengiz Kahraman
AU  - Sezi Cevik Onar
AU  - Basar Oztaysi
PY  - 2015
DA  - 2015/08/01
TI  - Fuzzy Multicriteria Decision-Making: A Literature Review
JO  - International Journal of Computational Intelligence Systems
SP  - 637
EP  - 666
VL  - 8
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2015.1046325
DO  - 10.1080/18756891.2015.1046325
ID  - Kahraman2015
ER  -