Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

A Multiple Attribute Decision Method Based on Fuzzy Flexibility Optimum Seeking Theory

Authors
Qin Wang, Liang Ma
Corresponding Author
Qin Wang
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.7How to use a DOI?
Keywords
Multiple attribute decision; Fuzzy optimum seeking; Non-normal fuzzy number; Fuzzy distance
Abstract
Normally, Fuzzy decision can show the faintness of the decision resultant, but can't show the faintness of the decision maker. This paper will introduce the concept of the non-normal fuzzy number and fuzzy distance, and then improve on the multiple attribute decision method. This not only can present the faintness of the decision resultant, but also can present the belief of the decision maker and the degree of the group decision.
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Proceedings
2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-282-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/mcei-16.2016.7How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qin Wang
AU  - Liang Ma
PY  - 2016/12
DA  - 2016/12
TI  - A Multiple Attribute Decision Method Based on Fuzzy Flexibility Optimum Seeking Theory
BT  - 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.7
DO  - https://doi.org/10.2991/mcei-16.2016.7
ID  - Wang2016/12
ER  -