A Group Decision Making Model of Water Resources Management Based on Supporting Degrees of Experts

Article Preview

Abstract:

A group decision making model based on supporting degrees of experts is proposed for selecting the best potential solution to the degradation of the Shiyang river basin. In order to balance the expectations of each expert, a weighted arithematic average based PROMETHEE method is employed to aggregate the opinions from different departments. The weights of experts are calculated by using the corresponding supporting degrees after experts presented their rankings of the alternatives instead of assigning them a priori weight subjectively.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2362-2365

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Wenhua LI, and Rusong Wang, in: Water resources and ecosystem management in China-Challenges and Opportunities, Ecosystem Service and Sustainable Watershed Management in North China, International Conference, Beijing, P.R. China, August 23 - 25, (2000).

Google Scholar

[2] Lee, D. J., and A. Dinar, in: Integrated models of river basin planning, development, and management, Water Int. Vol 21 (1996), p.213.

DOI: 10.1080/02508069608686517

Google Scholar

[3] Lou Shuai, Wang Huimin, Niu Wenjuan, Xu Yejun, in: Optimization of Multi-Stage Group Decision Making for Water Resource Allocation, Resources Sci., Vol 35 (2013), p.569.

Google Scholar

[4] Frank A. Ward, in: Decision support for water policy: a review of economic concepts and tools, Water Policy Vol 9 (2007), p.1.

Google Scholar

[5] Greco S, Matarazzo B, Slowinski R., in: Rough sets methodology for sorting problems in presense of multiple attributes and criteria, Eur. J. Oper. Res., Vol 138 (2002) p.247.

DOI: 10.1016/s0377-2217(01)00244-2

Google Scholar

[6] Pawlak Z., in: Rough Sets: Theoretical aspects of reasoning about data, system theory, Knowledge Engineering and Problem Solving, Dordrecht: Kluwer, (1991).

Google Scholar

[7] Brans JP, Vincke P., in: A preference ranking organization method for multiple criteria decision-making, Management Science, Vol 31(1985), p.647.

DOI: 10.1287/mnsc.31.6.647

Google Scholar