RBF fuzzy reasoning flexible decision making method oriented to statistical information

DOI

10.2991/icmmita-16.2016.277How to use a DOI?

Keywords

statistical information; hierarchical method; fuzzy reasoning; decision making

Abstract

Integrated fuzzy logarithm preference programming proposed by the paper can be used to treat AHP and ANP problem effectively and reliably. The method improves FPP defects, such as comparative matrix is treated one by one and weight generated by upper triangular judgment of matrix is different from that by lower triangular judgment. In the five examples, the result shows because of extra constraint, FPP method makes upper triangular judgment and lower triangular judgment obtain priority and ordering discrepancy. Because upper triangular judgment provides the same information as lower triangular judgment, priority will also be the same. The proposed method of using multiplicative constraints can obtain the same priority and ordering; moreover, through multi-objective programming, the proposed method can solve all comparative matrixes at the same time while their complexity is not related to the number of comparative matrixes.

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/).

Download article (PDF)

TY  - CONF
AU  - Tao Duan
AU  - Jing Huang
PY  - 2017/01
DA  - 2017/01
TI  - RBF fuzzy reasoning flexible decision making method oriented to statistical information
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1203
EP  - 1208
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.277
DO  - 10.2991/icmmita-16.2016.277
ID  - Duan2017/01
ER  -