Application of Set Pair Analysis Model Based on Entropy Weight for Comprehensive Evaluation of Water Resources Carrying Capacity

Abstract:

In view of the uncertainty of evaluation indicators for water resources carrying capacity the theory of set pair analysis is adopted. The samples are preliminarily classified by calculating the connection degree between the samples and evaluation indicators. Then the samples are further ranked through the identity, difference and antagonism set pair analysis. The weights of evaluation factors in the model are obtained from the avail value of data reflecting the information entropy, by which the weight allocation is more reasonable. The application result of this model to an example is compared with those obtained from integrated evaluating methods and the attribute recognition method. It shows that the proposed method is practical and reasonable.

• Periodical: Applied Mechanics and Materials (Volumes 195-196)
• Pages: 764-769
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.195-196.764
• Online since: August 2012
• Authors: Liang Ma, Jing Hua Zhao, Ming Hong, Liang Liang Chen
• Keywords: Entropy, Evaluation of Water Resources Carrying Capacity, Set Pair Analysis (SPA), Weight

References

[1] Xia Jun. Water safety measure-the challenges of water resources carrying capacity, Haihe River Water Resources, vol. 22, no. 2, pp.5-7, April 2002. (in Chinese).

[2] Shi Yafeng. Urumqi River Basin water resources carrying capacity and the rational use. Beijing: Science Press, 1992. (in Chinese).

[3] Qin Liyun, Jin Zhongqing. Huaihe River Water Resources Assessment of carrying capacity, Hydrology, no. 3, pp.14-17, June 2001. (in Chinese).

[4] Qin Fen, Zhangxi Wang, Liu Jianfeng. Analysis method based on fuzzy comprehensive evaluation of water resources carrying capacity, Journal of Water Resources and Hydropower Engineering, no. 1, pp.1-6, January 2006. (in Chinese).

[5] Yang Lunbiao, Gao yingyi. Fuzzy Mathematics and Application of a theory. Guangzhou: South China University of Technology Press, 2002. (in Chinese).

[6] Chen Shouyu. Hydrology and water resources system fuzzy recognition theory. Dalian: Dalian University of Technology Press , 1992. (in Chinese).

[7] He Ling. A Maximum Entropy-based Model for Groundwater Quality Assessment,. Water Science, vol. 12, no. 3, pp.61-65, Marchl 2001. (in Chinese).

[8] Zhao Keqin. Set pair analysis and its preliminary application. Hangzhou: Zhejiang Science and Technology Press, 2000. (in Chinese).

[9] Zhao Keqin, Xuan Aili. Set pair theory-a new method of uncertainty theory and application, Systems Engineering, vol. 14, no. 1, pp.18-23, January 1996. (in Chinese).

[10] Zhao Keqin. Application of program evaluation decision matrix based on set pair analysis, Systems Engineering, vol. 12, no. 4, pp.67-72, April 1994. (in Chinese).

[11] Liu Hui, Gong Shiliang. The application of set pair analysis in groundwater quality evaluation, Engineering investigation, no. 5, pp.16-18, May 2000. (in Chinese).

[12] Qiu Wanhua. Management decision-making and application of entropy learning. Beijing: Mechanical Industry Press, 2001. (in Chinese).

[13] Wang Haofang, Dou Shi, Guo Yue. Dongjiang water resources carrying capacity assessment, Water Resources Protection, no. 4, pp.40-43, February 2009. (in Chinese).

[14] Chen Yangbo, Li Changxing, Feng Zhiyao, et al. Fuzzy comprehensive evaluation of water resources carrying capacity in Shenzhen, Hydropower, vol. 33, no. 3, pp.11-14, April 1994. (in Chinese).

[15] Chen Yangbo, Chen Junhe, Li Changxing, et al. DPSIR model based on carrying capacity for water resources evaluation index system, Journal of Hydraulic Engineering, no. 7, pp.98-103, Julyl 2004. (in Chinese).