Comprehensive entropy weight observability-controllability risk analysis and its application to water resource decision-making

Water SA

Volumn 38, Issue 4, 2012, Pages 573-580

  Li, Xun Gui ^a   Wei, Xia ^a,b   Huang, Qiang ^c  

^a LANZHOU UNIVERSITY   (China)

^b Chinese Academy of Sciences   (China)

^c XI'AN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Decision making; Entropy weight risk analysis; Gain by comparison; Observability controllability risk; Yellow River Basin

Indexed keywords

CONTROLLABILITY; OBSERVABILITY; RESOURCE ALLOCATION; WATER RESOURCES;

ANALYSIS APPROACH; ANALYSIS OF ALTERNATIVES; COMPUTING METHODS; ENTROPY WEIGHTS; ENVIRONMENTAL FACTORS; GAIN BY COMPARISON; INFORMATION ENTROPY; MAKING DECISION; WATER RESOURCE PLANNING; YELLOW RIVER BASIN; YELLOW RIVER BASIN , CHINA;

DECISION MAKING;

DECISION MAKING; ENTROPY; OBSERVATIONAL METHOD; PSYCHOLOGY; QUANTITATIVE ANALYSIS; RISK ASSESSMENT; WATER PLANNING; WATER RESOURCE;

CHINA; YELLOW RIVER BASIN;

EID: 84930478209     PISSN: 03784738     EISSN: 18167950     Source Type: Journal    
DOI: 10.4314/wsa.v38i4.13     Document Type: Article

References (26)

1. AMOROCHO J and ESPILDORA B (1973) Entropy in the assessment of uncertainty in hydrologic systems and models. Water Resour. Res. 9 (6) 1511-1522.
2. BARRON H and SCHMIDT P (1988) Sensitivity analysis of additive multiattribute value models. Oper. Res. 36 (1) 122-127.
3. CAI XM, LASDON L and MICHELSEN AM (2004) Group decision making in water resources planning using multiple objective analysis. J. Water Resour. Plann. Manage. 130 (1) 4-14.
4. COHON JR (1978) Multiobjective Programming and Planning. Academic, New York, USA.
5. DING SF and SHI ZZ (2005) Studies on incidence pattern recognition based on information entropy. J. Inf. Sci. 31 (6) 497-502.
6. EZELL BC, FARR JV and WIESE I (2000) Infrastructure Risk Analysis Model. J. Infrastruct. Syst. 6 (3) 114-117.
7. HAIMES YY (1998) Risk Modeling, Assessment, and Management. Wiley, New York, USA.
8. HAIMES Y and HALL W (1974) Multiobjective in water resources systems analysis: The Surrogate Worth Trade-Off Method. Water Resour. Res. 10 (4) 615-624.
9. HOTMAN E (2005) Base reference analytical hierarchy process for engineering process selection. Lect. Notes Comput. Sci. 3681 184-190.
10. HYDE KM, MAIER HR and COLBY CB (2004) Reliability-based approach to multicriteria decision analysis for water resources. J. Water Resour. Plann. Manage. 130 (6) 429-438.
11. ISLAM R and ABDULLAH NA (2006) Management decision making by the analytic hierarchy process: a proposed modification for large-scale problems. J. Int. Bus. Entrepreneurship Dev. 3 (1/2) 18-40.
12. KENWARD TC and HOWARD-CHARLES DD (1999) Forecasting for urban water demand management. Proc. 29th Annual Water Resources Planning and Management Conference, ASCE, 6-9 June 1999, Tempe, Arizona. URL: http://ascelibrary.org/doi/abs/10.1061/40430%281999%29245.
13. LI XG and WEI X (2011) Soil erosion analysis of human influence on the controlled basin system of check dams in small watersheds of the Loess Plateau, China. Expert. Syst. Appl. 38 (4) 4228-4233.
14. LIEBOWITZ J (2005) Linking social network analysis with the analytic hierarchy process for knowledge mapping in organizations. J. Knowl. Manage. 9 (1) 76-86.
15. LOUCKS DP (2000) Achieving a consensus in the restoration of the Everglades: a challenge for shared vision modelers. Proc. Joint Conference on Water Resource Engineering and Water Resources Planning and Management, ASCE, 30 July-2 August, 2000, Minneapolis, Minnesota. URL: http://ascelibrary.org/doi/abs/10.1061/40517%282000%29163.
16. MAYS DC, FAYBISHENKO BA and FINSTERLE S (2002) Information entropy to measure temporal and spatial complexity of unsaturated flow in heterogeneous media. Water Resour. Res. 38 (12) 1313-1323.
17. PALMER RN, WERICK WJ, MACEWAN A and WOODS AW (1999) Modeling water resources opportunities, challenges and trade-offs: the use of shared vision modeling for negotiation and conflict resolution. Proc. 29th Annual Water Resources Planning and Management Conference, ASCE, 6-9 June 1999, Tempe, Arizona. URL: http://ascelibrary.org/doi/abs/10.1061/40430%281999%291.
18. PALMER RN (2000) Task committee report on shared vision modeling in water resources planning. Water Resour. 104 166-169.
19. RAJU KS, DUCKSTEIN L and ARONDEL C (2000) Multicriterion analysis for sustainable water resources planning: a case study in Spain. Water Resour. Manage. 14 (6) 435-456.
20. RPDRI (RECONNAISSANCE, PLANNING, DESIGN AND RESEARCH INSTITUTE OF YELLOW RIVER CONSERVANCY COMMISSION, MINISTRY OF WATER RESOURCES) (2001) Studies of key technology for water resources development and sediment reduction and cleaning in river courses of the middle and lower reaches of the Yellow River. Sub-Project of National Key Science and Technology Plan in the 9th Five-Year Plan Period (NO.98-928-01-01-02). Zhengzhou, China (in Chinese). ONSERVANCY COMMISSION, MINISTRY OF WATER RESOURCES)
21. SAATY TL (1980) The Analytic Hierarchy Process: Planning, Priority Setting, Resources Allocation. McGraw-Hill, New York, USA.
22. SAMANTA B and ROY TK (2005) Multiobjective entropy transportation model with trapezoidal fuzzy number penalties, sources, and destinations. J. Transport. Eng. 131 (6) 419-428.
23. SHANNON CE and WEAVER W (1948) The Mathematical Theory of Communication. University of Illinois Press, Urbana.
24. TRIANTAPHYLLOU E and SANCHEZ A (1997) A sensitivity analysis approach for some deterministic multi-criteria decision-making methods. Decis. Sci. 28 (1) 151-194.
25. WANG H, QIN DY and WANG JH (2002) Concept of system and methodology for river basin water resources programming. J. Hydraul. Eng. 33 (8) 1-6.
26. WESTPHAL KS, VOGEL RM, KIRSHEN P and CHAPRA SC (2003) Decision support system for adaptive water supply management. J. Water Resour. Plann. Manage. 129 (3) 165-177.