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

DOI

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.

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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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  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 33
EP  - 38
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.7
DO  - 10.2991/mcei-16.2016.7
ID  - Wang2016/12
ER  -