Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-25T23:40:10.972Z Has data issue: false hasContentIssue false
  • English
  • Français

Multi-objective comprehensive evaluation approach to a river health system based on fuzzy entropy†

Published online by Cambridge University Press:  04 September 2014

ZHIBIN QIN ,
HUIMEI LI  and
ZHAOHUI LIU
ZHIBIN QIN
Affiliation:
School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China Email: [email protected]; [email protected]; [email protected]
HUIMEI LI
Affiliation:
School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China Email: [email protected]; [email protected]; [email protected]
ZHAOHUI LIU
Affiliation:
School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China Email: [email protected]; [email protected]; [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

The process of river health evaluation is subject to uncertainty and complexity. To address this, we establish a river health evaluation system based on entropy and multi-objective space theory. We apply an analytic hierarchy process (AHP) to calculate the weight of the first grade indexes, and then apply the entropy to calculate the weight of the second indexes. In this way, the health measure can be considered in terms of objective data and a subjective classification. The results of the computation show that the whole system provides a good measure of the health. The results express the measurement of the health of the river on different levels and for different aspects, which indicates that the evaluation method is feasible.

Type
Paper
Information
Mathematical Structures in Computer Science , Volume 24 , Special Issue 5: Mathematical Method in Intelligent Computing and Automation , October 2014 , e240515
Copyright
Copyright © Cambridge University Press 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

†

This work was supported by Project 2008DFR70460 of the International Science and Technology Cooperation Program of China.

References

Geng, L., Liu, H. and Zhong, H. (2006) Indicators and criteria for evaluation of healthy rivers. Shuili Xuebao 37 (3)253–258.Google Scholar
Hu, X., Yang, X. and Li, J. (2008) Set pair analysis model for river health system assessment. System Engineering-Theory & Practice 5 (1)164–170.Google Scholar
Li, H., Li, S. and Luo, L. (1992) Studies on multi-objective comprehensive evaluation method of sustainable development. China Environmental Science 24 (3)367–371.Google Scholar
Meng, X. and Hu, H. (2009) Application of set pair analysis model based on entropy weight to comprehensive evaluation of water quality. Shuili Xuebao 40 (3)256–262.Google Scholar
Wang, D. and Zhu, Y. (2002) POME based fuzzy optimal evaluation model of water environment. Journal of Hohai University 30 (6)56–60.Google Scholar
Yan, W. and Gu, L. (2004) Application of the method of entropy proportion in the engineering mark. Journal of Xi'an University of Architecture & Technology (Natural Science Edition) 36 98–100.Google Scholar
Zhang, X. and Liang, C. (2005) Application of fuzzy matter element model based on entropy in comprehensive evaluation of water coefficients quality. Shuili Xuebao 36 1057–1061.Google Scholar
Zou, Z., Sun, J. and Ren, G. (2005) Study and application on the entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. Acta Scientiae Circumstantiae 25 552–556.Google Scholar