Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

Research on the Application of AHP and Fuzzy Evaluation in Quota Design

Authors
Jing Luo
Corresponding Author
Jing Luo
Available Online June 2017.
DOI
10.2991/ammee-17.2017.92How to use a DOI?
Keywords
Quota design, FAST graphic method, Principal component analysis, Fuzzy evaluation.
Abstract

In view of functional analysis is the key work of quota design, we establish the AHP model based on FAST diagram analysis method and principal component analysis. It can design the system function so as to provide a scientific basis for investment quota allocation. On this basis, we establish the fuzzy function evaluation model, this model can comprehensive evaluation of overall function of the design. On one hand, it demonstrate the feasibility of the AHP function analysis model. On the other hand, it provides a simple method for the comprehensive evaluation of the overall function of scientific design.

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)

Volume Title
Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Series
Advances in Engineering Research
Publication Date
June 2017
ISBN
10.2991/ammee-17.2017.92
ISSN
2352-5401
DOI
10.2991/ammee-17.2017.92How 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  - CONF
AU  - Jing Luo
PY  - 2017/06
DA  - 2017/06
TI  - Research on the Application of AHP and Fuzzy Evaluation in Quota Design
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 477
EP  - 481
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.92
DO  - 10.2991/ammee-17.2017.92
ID  - Luo2017/06
ER  -