Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

The Analysis of Water Supply Capacity Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation

Authors
Xinge Li
Corresponding Author
Xinge Li
Available Online May 2016.
DOI
10.2991/wartia-16.2016.133How to use a DOI?
Keywords
AHP fuzzy comprehensive evaluation water supply capacity
Abstract

Proposing solution to clean water shortage is of great importance to all citizens of the world. In this paper, we analyze and evaluate water supply capacity in a region based on building mathematical model by analytical hierarchy process (AHP) and fuzzy comprehensive evaluation. First of all, hierarchical structure consists of three layers, including target layer, criterion layer and sub-criterion layer. The weight matrixes of the first two layers are decided through AHP. Secondly, we describe factors in five degrees for determining five levels of capacity assessment. Fuzzy comprehensive evaluation is applied to acquiring the membership degree of five grades and judge the level of supply capacity rely on principle of maximum membership. Therefore, we are able to acquire water supply ability.

Copyright
© 2016, 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 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
10.2991/wartia-16.2016.133
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.133How to use a DOI?
Copyright
© 2016, 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  - Xinge Li
PY  - 2016/05
DA  - 2016/05
TI  - The Analysis of Water Supply Capacity Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 635
EP  - 639
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.133
DO  - 10.2991/wartia-16.2016.133
ID  - Li2016/05
ER  -