Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

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A New Approach to Fuzzy Multi-Criteria Acceptability Analysis

Authors
Boris Yatsalo
Corresponding Author
Boris Yatsalo
Available Online June 2015.
DOI
10.2991/ifsa-eusflat-15.2015.133How to use a DOI?
Keywords
Multi-Criteria decision analysis, fuzzy numbers, ranking fuzzy numbers, MAVT, DecernsMCDA.
Abstract

The suggested approach, FMAA (Fuzzy Multicriteria Acceptability Analysis), assimilates uncertainties/ imprecisions of objective values and subjective judgments within the discrete Multi-Criteria Decision Analysis (MCDA). The presented algorithm for FMAA implementation utilizes fuzzy criterion values and fuzzy weight coefficients based on the use of fuzzy numbers, integral measure to assess the difference of fuzzy numbers, and determination of the fuzzy measure of “a Fuzzy Rank Statement”, which is based on pairwise comparison of alternatives in an integrated scale. Implementation of FMAA based on one of the MCDA methods (MAVT) is discussed.

Copyright
© 2015, 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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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-77-6
ISSN
1951-6851
DOI
10.2991/ifsa-eusflat-15.2015.133How to use a DOI?
Copyright
© 2015, 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

risenwbib
TY  - CONF
AU  - Boris Yatsalo
PY  - 2015/06
DA  - 2015/06
TI  - A New Approach to Fuzzy Multi-Criteria Acceptability Analysis
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 947
EP  - 952
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.133
DO  - 10.2991/ifsa-eusflat-15.2015.133
ID  - Yatsalo2015/06
ER  -