Abstract
Water resource systems, with an abundance of project purposes and resource values, are subject to conflicting policy, planning, and management decisions. Multi-criteria decision making methods (MCDM) provide a framework to help water managers identify critical issues, attach relative priorities to those issues, select best compromise alternatives, and facilitate communication to gain general acceptance. This paper addresses a method that incorporates several system factors/components within a general framework for providing a holistic analysis of the problems and comprehensive evaluation of the related mitigation/adaptation measures and policy responses. The method accounts for uncertainties in both the quantification and importance of objectives in the ranking process. The proposed fuzzy multi-criteria decision making process uses the well known Technique for Order Preference by Similarity of Ideal Solution (TOPSIS) method in both deterministic and uncertain environments. The performance of the proposed approach to a real water resource management problem in Iran is illustrated. Results show that the model may be used in a large-scale multi-level assessment process. Ranks of the alternatives are presented using deterministic and fuzzy based models.
Article PDF
Similar content being viewed by others
References
Abrishamchi A, Ebrahimian A, Tajrishy M, Mariño MA (2005) Case study: application of multicriteria decision making to urban water supply. J Water Resour Plan Manage 131(4):326–335
Ashtian B, Haghighirad F, Makui A, Montazer GA (2009) Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets. Applied Soft Computing 9:457–461
Barros MT-L, Tsai FT-C, Yang S-L, Lopes JEG, Yeh WW-G (2003) Optimization of large-scale hydropower system operations. J Water Resour Plan Manage 129(3):178–188
Borri D, Concilio G, Conte E (1998) A fuzzy approach for modeling knowledge in environmental systems evaluation. Comput Environ Urban Syst 22(3):299–313
Cai X, Lasdon L, Michelsen AM (2004) Group decision making in water resources planning using multiple objective analysis. J Water Resour Plan Manage 130(1):4–14
Cai YP, Huang GH, Lu HW et al (2009) I-VFRP: an interval-valued fuzzy robust programming approach for municipal waste management planning under uncertainty. Eng Optim 41(5):399–418
Chen T-C (2000) Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst 114:1–9
Chu TC (2002) Selecting plant location via a fuzzy TOPSIS approach. Int J Adv Manuf Technol 20:859–864
Duckstein L, Treichel W, Magnouni S (1994) Ranking ground-water management alternatives by multicriterion analysis. J Water Resour Plan Manage 120:546–565
Ertuğrul I, Karakaşoğlu N (2008) Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection. Int J Adv Manuf Technol 39:783–795
Ertuğrul I, Güneş M (2007) Fuzzy multi-criteria decision making method for machine selection. Anal Des Intel Sys using SC Tech ASC 41:638–648, Springer, Heidelberg
Figueira J, Salvatore G, Ehrgott M (eds) (2005a) Multiple criteria decision analysis: state of the art surveys. Springer, Berlin
Figueira J, Mousseau V, Roy B (2005b) ELECTRE methods. In: Figueira J, Salvatore G, Ehrgott M (eds) Multiple criteria decision analysis: state of the art surveys. Springer, Berlin, pp 133–162
Flug M, Seitz HLH, Scott JF (2000) Multicriteria decision analysis applied to Glen Canyon Dam. J Water Resour Plan Manage 126(5):270–276
Fu G (2008) A fuzzy optimization method for multicriteria decision making: an application to reservoir flood control operation. Expert Syst Appl 34(1):145–149
Gershon L, Duckstein L, Aniff RM (1982) Multiobjective river basin planning with qualitative criteria. Water Resour Res 118(2):193–202
Goicoechea A, Hansen DR, Duckstein L (1982) Multi-objective decision analysis with engineering and business applications. Wiley, New York
Gonzalez B, Adenso-Diaz B, Gonzalez-Torre PL (2002) A fuzzy logic approach for the impact assessment in LCA. Resour Conserv Recycl 37:61–79
Hajkowicz S, Collins K (2007) A review of multiple criteria analysis for water resource planning and management. Water Resour Manage 21(9):1553–1566
Hsieh CH, Chen SH (1999) A model and algorithm of fuzzy product positioning. Inf Sci 121:61–82
Hyde KM, Maier HR, Colby CB (2004) Reliability-based approach to multicriteria decision analysis for water resources. J Water Resour Plan Manage 130(6):429–438
Hydroinformatic Research Center (2005) Karun reservoirs environmental impact assessment: final report. Iran University of Science and Technology, 4 volumes
Hwang CL, Yoon K (1981) Multiple attributes decision making methods and applications. Springer, Heidelberg
Kheireldin K, Fahmy H (2001) Multi-criteria approach for evaluating long term water strategies. Water Int 26(4):527–535
Lai E, Lundie S, Ashbol NJ (2008) Review of multicriteria decision aid for integrated sustainability assessment of urban water systems. Urban Water J 5(4):315–327
Larichev OI, Moshkovich HM (1995) ZAPROS-LM: a method and system for ordering multiattribute alternatives. Eur J Oper Res 82:503–521
Liu KFR, Huang SC, Liang HH (2009) A qualitative decision support for environmental impact assessment using fuzzy logic. J Environ Inform 13(2):93–103
Lund JR (1991) Random variables versus uncertain values: stochastic modeling and design. J Water Resour Plan Manage 117(2):179–194
Lund JR (2008) A risk analysis of risk analysis. J Contemporary Water Research & Education 140:53–60
Morón B, Delgado Calvo-Flores M, Martín Ramos JM, Polo Almohano MP (2009) AIEIA: software for fuzzy environmental impact assessment. Expert Syst Appl 36:9135–9149
Mourits M, Oude Lansink A (2006) Multi-criteria decision making to evaluate quarantine disease control strategies. In: Oude Lansink A (ed) New approaches to the economics of plant health. Springer, Heidelberg, pp 131–144
Netto OC, Parent E, Duckstein L (1996) Multicriterion design of long-term water supply in southern France. J Water Resour Plan Manage 122(6):403–413
Peche R, Rodríguez E (2009) Environmental impact assessment procedure: a new approach based on fuzzy logic. Environ Impact Asses Rev 29:275–283
Raju KS, Duckstein L, Arondel C (2000) Multicriterion analysis for sustainable water resources planning: a case study in Spain. Water Resour Manage 14(6):435–456
Saaty TL (2004) Decision making: the analytic hierarchy and network processes (AHP/ANP). J Syst Sci Syst Eng 13(1):1–35
Simonovic S (1989) Application of water resources systems concept to the formulation of a water master plan. Water Int 14:37–50
Tan Q, Huang GH, Cai YP (2009) A superiority-inferiority-based inexact fuzzy-stochastic programming approach for solid waste management under uncertainty. Environ Model Assess 15:381–396. doi:10.1007/s10666-009-9214-6
Tecle A, Fogel M, Duckstein L (1988) Multi-criterion selection of wastewater management alternatives. J Water Resour Plan Manage 114(4):383–398
Triantphyllou E, Lin CT (1996) Development and evaluation of five fuzzy multi attribute decision making methods. Int J Approx Reason 14:281–310
UNEP (1987) Methodological guidelines for the integrated environmental evaluation of water resources development. International Hydrological Program, UNESCO, United Nations Environmental Program, Paris
Zhou HC, Wang GL, Yang Q (1999) A multi-objective fuzzy recognition model for assessing groundwater vulnerability based on the DRASTIC system. Hydrol Sci J 44:611–618
Zimmermann H-J (1996) Fuzzy set theory and its applications, 3rd edn. Kluwer, Boston
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Open Access This is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
About this article
Cite this article
Afshar, A., Mariño, M.A., Saadatpour, M. et al. Fuzzy TOPSIS Multi-Criteria Decision Analysis Applied to Karun Reservoirs System. Water Resour Manage 25, 545–563 (2011). https://doi.org/10.1007/s11269-010-9713-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11269-010-9713-x