A fuzzy analytical hierarchy methodology for the performance assessment of irrigation projects

Agricultural Water Management

Volumn 121, Issue , 2013, Pages 113-123

  Montazar, Aliasghar ^a,b   Gheidari, Omid Nasiri ^a   Snyder, Richard L ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Decision making technique; Fuzzy based methodology; Managerial aspects; Performance indicators

Indexed keywords

ANALYTICAL HIERARCHIES; ANALYTICAL HIERARCHY PROCESS; ASSESSMENT PROCESS; DECISION-MAKING TECHNIQUE; ECONOMIC ASPECTS; FUZZY TRIANGULAR NUMBERS; FUZZY-BASED METHODOLOGY; IRRIGATION PROJECTS; IRRIGATION SYSTEMS; MANAGERIAL ASPECTS; MULTI-CRITERIA DECISION METHODS; OPERATION AND MAINTENANCE; PERFORMANCE ASSESSMENT; PERFORMANCE INDICATORS; PERFORMANCE VALUE; PRIORITY WEIGHTS; RELATIVE WEIGHTS; TRIANGULAR FUZZY NUMBERS; VAGUE DATA;

BENCHMARKING; DECISION MAKING; FUZZY SETS; MANAGERS; UNCERTAINTY ANALYSIS;

WATER SUPPLY;

ANALYTICAL HIERARCHY PROCESS; DATA SET; DECISION MAKING; FUZZY MATHEMATICS; IRRIGATION SYSTEM; PERFORMANCE ASSESSMENT; SOCIOECONOMIC CONDITIONS; WATER MANAGEMENT;

EID: 84874576970     PISSN: 03783774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agwat.2013.01.011     Document Type: Article

References (37)

1. Abernethy C.L. Performance criteria for irrigation systems. Proceedings on International Conference on Irrigation Theory and Practice 1989, J.R. Rydzewski, K. Ward (Eds.).
2. Ashari Alias M., Hashim S.Z., Samsudin S. Using Fuzzy Analytic Hierarchy Process for Southern Johor River Ranking. International Journal of Soft Computing Applications 2009, 1(1):62-76.
3. Bos M.G., Murray-Rust D.H., Merrey D.J., Johnson H.G., Snellen W.B. Methodologies for assessing performance of irrigation and drainage management. Irrigation and Drainage Systems 1994, 7:231-261.
4. Bos M.G. Performance indicators for irrigation and drainage. Irrigation and Drainage Systems 1997, 11:119-137.
5. Bottani E., Rizzi A. An adapted Multi-Criteria approach to suppliers and products selection - An application oriented to lead-time reduction. International Journal of Production Economics 2008, 111(2):763-781.
6. Bozdag C.E., Kahraman C., Ruan D. Fuzzy group decision-making for selection among computer integrated manufacturing systems. Computers in Industry 2003, 51(1):13-29.
7. Buckley J.J. Fuzzy hierarchal analysis. Fuzzy Sets and Systems 1985, 17:233-247.
8. Burt, C.M., Styles, S.W., 1999. Modern water control and management practices in irrigation: impact on performance. FAO Water Report, No. 19. Food and Agricultural Organization of the UN, Rome, Italy.
9. Burt C.M., Clemmens A.J., Strelkoff T.S., Solomon K.H., Bliesner R.D., Hardy L.A., Howell T.A., Eisenhauer D.E. Irrigation performance measures: efficiency and uniformity. Irrigation & Drainage Engineering 1997, 123(6):423-442. ASCE.
10. Cascales M.S.G., Lamata M.T. Fuzzy analytical hierarchy process in maintenance problem. Computer Science 2008, 5027:815-824.
11. Chang D.Y. Application of the extent analysis method on fuzzy AHP. European Journal of Operational Research 1996, 95(3):649-655.
12. Durán O. Computer-aided maintenance management systems selection based on a fuzzy AHP Approach. Advances in Engineering Software 2011, 42:821-829.
13. Durán O., Aguilo J. Computer-aided machine-tool selection based on a fuzzy-AHP approach. Expert Systems with Applications 2008, 34:1787-1794.
14. Expert Choice Expert Choice software and manual 2000, Expert Choice Inc., 4922 Elsworth Ave, Pittsburgh, PA 15213, USA.
15. Haq A., Kannan G. Fuzzy Analytical Hierarchy Process for evaluating and selecting a vendor in a Supply Chain model. International Journal of Advanced Manufacturing Technology 2006, 29:826-835.
16. Hazell P., Chakravorty U., Dixon J., Celis R. Monitoring systems for managing natural resources: economics indicators and environmental externalities in a Costa Rican watershed. EPTD Discussion Paper No. 73 2001, International Food Policy Research Institute and the World Bank.
17. ICID Currently used performance indicators. Research program on irrigation performance 1995, Contact: M.G. Bos, Wageningen, the Netherlands.
18. Kahraman C., Cebeci U., Ulukan Z. Multi-criteria supplier selection using fuzzy AHP. Logist Inf Manag 2003, 16(6):382-394.
19. Kannan G. Fuzzy approach for the selection of third party reverse logistics provider. Asia Pacific J Marketing and Logistics 2009, 21(3):397-416.
20. Kilincci O., Onal S.A. Fuzzy AHP approach for supplier selection in a washing machine company. Expert Sys with Applications 2011, 38:9656-9664.
21. Kutlu A.C., Ekmekcioglu M. Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Systems with Applications 2012, 39:61-67.
22. Liou T.S., Wang M.J.J. Ranking fuzzy numbers with integral value. Fuzzy Sets and Systems 1992, 50(3):247-255.
23. Molden D.J., Gates T.K. Performance measures for evaluation of irrigation water delivery systems. Irrigation and Drainage Engineering 1990, 116. ASCE.
24. Molden D., Sakthivadivel R., Preey C.J., de Fraiture C., Kloezen W.H. Indicators for comparing performance of irrigated agricultural systems. IWMI Research Report 1998, 20.
25. Mondal M.S., Saleh A.F.M. Evaluation of some deep and shallow tubewell irrigated schemes in Bangladesh using performance indicators. Agricultural Water Management 2003, 58:193-207.
26. Montazar A., Behbahani S.M. Development of an optimized irrigation system selection model using analytical hierarchy process. Biosystems Engineering 2007, 98:155-165.
27. Montazar A., Zadbagher E. An Analytical Hierarchy Model for Assessing Global Water Productivity of Irrigation Networks in Iran. Water Resources Management 2010, 24:2817-2832.
28. Okada H., Styles S.W., Grismer M.E. Application of the Analytic Hierarchy Process to irrigation project improvement Part I. Impacts of irrigation project internal processes on crop yields. Agricultural Water Management 2008, 95:199-204.
29. Okada H., Styles S.W., Grismer M.E. Application of the Analytic Hierarchy Process to irrigation project improvement Part II. How professionals evaluate an irrigation project for its improvement. Agricultural Water Management 2008, 95:205-210.
30. Saaty T.L. The Analytic Hierarchy Process 1980, McGraw Hill, New York.
31. Saaty T.L. Axiomatic foundation of the analytical hierarchy process. Management Science 1986, 32(7):841-855.
32. Saaty T.L. A scaling method for priorities in hierarchical structure. Journal of Mathematical Psychology 1977, 15:228-234.
33. Sam-Amoah L.K., Gowing J.W. Assessing the performance of irrigation schemes with minimum data on water deliveries. Irrig Drain 2001, 50(1):31-39.
34. Srdjevic B., Medeiros Y.D.P. Fuzzy AHP Assessment of water management plans. Water Resources Management 2008, 22:877-894.
35. Styles S.W., Mariño M.A. Water delivery service as a determinant of irrigation project performance, 18th ICID Congress 2002.
36. The World Bank Independent Evaluation Group, 2008. An impact evaluation of India's second and third Andhra Pradesh Irrigation Projects. Washington, D.C.
37. Torfi F., Farahani R., Rezapour Z.S. Fuzzy AHP to determine the relative weights of evaluation criteria and fuzzy TOPSIS to rank the alternatives. Applied Soft Computing - Journal 2010, 10(2):520-528.