1. I.W. Heathcote, Integrated Watershed Management: Principles and Practice, John Wiley & Sons, New York, 1998.
  2. A.J. Jakeman, R.A. Letcher, Integrated assessment and modelling: features, principles and examples for catchment management, Environ. Modell. Softw., 18 (2003) 491–501.
  3. H. Van Delden, P. Luja, G. Engelen, Integration of multiscale dynamic spatial models of socio-economic and physical processes for river basin management, Environ. Modell. Softw., 22 (2007) 223–238.
  4. H. Van Delden, T. stuczynski, P. Ciaian, M.L. Paracchini, J. Hurkens, A. Lopatka, Y. Shi, O. Gomez Prieto, S. Calvo, J. Van Vliet, R. Vanhout, Integrated assessment of agricultural policies with dynamic land use change modelling, Ecol. Modell., 221 (2010) 2153–2166.
  5. M.E. Kragt, L.T.H. Newham, J. Bennett, A.J. Jakeman, An integrated approach to linking economic valuation and catchment modelling, Environ. Modell. Softw., 26 (2011) 92–102.
  6. R.A. Kelly (Letcher), A.J. Jakeman, O. Barreteau, M.E. Borsuk, S. ElSawah, S.H. Hamilton, H.J. Henrikson, S. Kuikka, H.R. Maier, A.E. Rizzoli, H. Van Delden, A.A. Voinov, Selecting among five common modelling approaches for integrated environmental assessment and management, Environ. Modell. Softw., 47 (2013) 158–181.
  7. G.F. Laniak, G. Olchin, J. Goodall, A. Voinov, M. Hill, P. Glynn, G. Whelan, G. Geller, N. Quinn, M. Blind, S. Peckham, S. Reaney, N. Gaber, R. Kennedy, A. Hughes, Integrated environmental modeling: a vision and roadmap for the future, Environ. Modell. Softw., 39 (2013) 3–23.
  8. M. Cinelli, S.R. Coles, K. Kirwan, Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment, Ecol. Indic., 46 (2014) 138–148.
  9. B. Asefjah, Integrated Catchment Modelling and Management Using Fuzzy TOPSIS Approach, MS Dissertation, International Desert Research Center (IDRC), University of Tehran, Iran, 2015.
  10. H. Chakroun, Z. Lili Chabaane, S. Benabdallah, Concept and prototype of a spatial decision support system for integrated water management applied to Ichkeul Basin, Tunisia, Water Environ. J., 29 (2015) 169–179.
  11. S. Pollard, Operationalising the new Water Act: contributions from the Save the Sand Project – an integrated catchment management initiative, Phys. Chem. Earth, 27 (2002) 941–948.
  12. D.P. Ames, B.T. Neilson, D.K. Stevens, U. Lall, Using Bayesian networks to model watershed management decisions: an East Canyon Creek case study, J. Hydroinf., 7 (2005) 267–282.
  13. A.R. Keshtkar, A. Salajegheh, A. Sadoddin, M.G. Allan, Application of Bayesian networks for sustainability assessment in catchment modeling and management (case study: The Hablehrood river catchment), Ecol. Modell., 268 (2013) 48–54.
  14. A. Sadoddin, V. Sheikh, R. Mostafazadeh, M.Gh. Halili, Analysis of vegetation-based management scenarios using MCDM in the Ramian watershed, Golestan, Iran, Int. J. Plant Prod., 4 (2010) 1–12.
  15. C. Fulcher, T. Prato, Y. Zhou, Economic and Environmental Impact Assessment Using a Watershed Management Decision Support Tool, Knowledge and Subtopics on Watershed Management Issues, ESRI, San Diego, USA, 1997.
  16. H.T. Mowrer, Decision Support Systems for Ecosystem Management: An Evaluation of Existing Systems, General Technical Report, USDA Forest Service Intermountain Research Station, Fort Collins, CO, USA, 1997, p. 154.
  17. A.J. Jakeman, R.A. Letcher, S. Rojanasoonthon, S. Cuddy, A. Scott, Integrating Knowledge for River Basin Management: Progress in Thailand, ACIAR Monograph, Australian Centre for International Agricultural Research, Canberra, No. 118, 2005, p. 220.
  18. G.A. Mendoza, R. Prabhu, Fuzzy methods for assessing criteria and indicators of sustainable forest management, Ecol. Indic., 3 (2003) 227–236.
  19. L. Zadeh, Fuzzy sets, Inf. Control, 8 (1965) 338–353.
  20. D. Bouyssou, T. Marchant, M. Pirlot, P. Perny, A. Tsoukias, P. Vincke, Evaluation and Decision Models: A Critical Perspective, Kluwer, Boston, 2000.
  21. J.J. Buckley, Fuzzy hierarchical analysis, Fuzzy Set. Syst., 17 (1985) 233–247.
  22. P.J.M. van Laarhoven, W. Pedrycz, A fuzzy extension of Saaty’s priority theory, Fuzzy Set. Syst., 11 (1983) 229–241.
  23. C.G.E. Boender, J.G. de Grann, F.A. Lootsma, Multicriteria decision analysis with fuzzy pairwise comparison, Fuzzy Set. Syst., 29 (1989) 133–143.
  24. D.Y. Chang, Applications of the extent analysis method on fuzzy AHP, Eur. J. Oper. Res., 95 (1996) 649–655.
  25. C.-H. Cheng, Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function, Eur. J. Oper. Res., 96 (1996) 423–443.
  26. G.A. Mendoza, R. Prabhu, A Fuzzy Analytic Hierarchy Process for Assessing Biodiversity Conservation, D.L. Schmoldt, J. Kangas, G. Mendoza, M. Pesonen, Eds., The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making, Kluwer Academic Publishers, Norwell, MA, USA, 2001, pp. 219–234. ISBN: 0-7923-7076-7.
  27. C.K. Kwong, H. Bai, Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach, IIE Trans., 35 (2003) 619–626.
  28. Y.C. Erensal, T. Oncan, M.L. Demircan, Determining key capabilities in technology management using fuzzy analytic hierarchy process: a case study of Turkey, Inf. Sci., 176 (2005) 2755–2770.
  29. C. Wu, V.B. Kreng, Evaluation of knowledge portal development tools using a FAHP approach: the case of Taiwanese stone industry, Eur. J. Oper. Res., 176 (2007) 1795–1810.
  30. M. Celik, I. Deha Er, A. Fahri Ozok, Application of fuzzy extended AHP methodology on shipping registry selection: the case of Turkish maritime industry, Expert Syst. Appl., 36 (2009) 190–198.
  31. L. Li, Z. Shi, W. Yin, D. Zhu, S. Leung Ng, C. Cai, A. Lei, A fuzzy analytic hierarchy process (FAHP) approach to ecoenvironmental vulnerability assessment for the Danjiangkou reservoir area, China, Ecol. Modell., 220 (2009) 3439–3447.
  32. D.R. Veerabathiran, K.A. Srinath, Application of the extent analysis method on fuzzy AHP, Int. J. Eng. Sci. Technol., 4 (2012) 3472–3480.
  33. I. Loghmanieh, S. Minaei, H. Bakhoda, Evaluating climatic and environmental potentials of saffron cultivation in Fars Province using GIS and FAHP (fuzzy analytic hierarchy process), Int. J. Agron. Plant Prod., 4 (2013) 3836–3848.
  34. Y. Liu, J. Xu, H. Luo, An integrated approach to modelling the economy-society-ecology system in urbanization process, Sustainability, 6 (2014) 1946–1972.
  35. P. Mahendran, M.B.K. Moorthy, S. Saravanan, A fuzzy AHP approach for selection of measuring instrument for engineering college selection, Appl. Math. Sci., 8 (2014) 2149–2161.
  36. M. Haghyghy, M. Ghamgosar, R. Sheykhi, A. Ghavidel, Fuzzy Analytical Hierarchy Process (FAHP) & Analytical Hierarchy Process (AHP) approach for evaluating tourism based on GIS, World Appl. Program., 5 (2015) 113–119.
  37. R.A. Al-Weshah, F. El-Khoury, Flood analysis and mitigation for Petra area in Jordan, J. Water Resour. Plan. Manage., 125 (1999) 170–177.
  38. A. Sadoddin, R.A. Letcher, A.J. Jakeman, A Bayesian Decision Network Approach for Salinity Management in the Little River Catchment, NSW, D.A. Post, Ed., Proc. Modelling and Simulation Society of Australia and New Zealand, Vol. 3, MODSIM Congress, Townsville, Australia, 2003, pp. 953–958.
  39. J. Bromley, N.A. Jackson, O.J. Clymer, A.M. Giacomello, F.V. Jensen, The use of Hugin® to develop Bayesian networks as an aid to integrated water resource planning, Environ. Modell. Softw., 20 (2005) 231–242.
  40. A. Sadoddin, R.A. Letcher, A.J. Jakeman, L.T.H. Newham, A Bayesian decision network approach for assessing the ecological impacts of salinity management, Math. Comput. Simul., 69 (2005) 162–176.
  41. R.A. Letcher, B.F.W. Croke, A.J. Jakeman, W.S. Merrit, An integrated modelling toolbox for water resources assessment and management in highland catchments: model description, Agric. Syst., 89 (2006) 106–131.
  42. A. Castelletti, R. Soncini-Sessa, Coupling real-time control and socio-economic issues in river basin planning, Environ. Modell. Softw., 22 (2007) 1114–1128.
  43. D.N. Barton, T. Saloranta, S.J. Moe, H.O. Eggestad, S. Kuikka, Bayesian belief networks as a meta-modelling tool in integrated river basin management — pros and cons in evaluating nutrient abatement decisions under uncertainty in a Norwegian river basin, Ecol. Econ., 66 (2008) 91–104.
  44. J.F. Fox, A.N. Papanicolaou, An un-mixing model to study watershed erosion processes, Adv. Water Resour., 31 (2008) 96–108.
  45. M.E. Kragt, A Beginners Guide to Bayesian Network Modelling for Integrated Catchment Management, Landscape Logic, Technical Report No. 9, Department of Environment, Water, Heritage and the Arts, Australia, 2009.
  46. A. Benzerra, M. Cherrared, B. Chocat, F. Cherqui, T. Zekiouk, Decision support for sustainable urban drainage system management: a case study of Jijel, Algeria, J. Environ. Manage., 101 (2012) 46–53.
  47. A. Holzkämper, V. Kumar, B.W.J. Surridge, A. Paetzold, D.N. Lerner, Bringing diverse knowledge sources together – a metamodel for supporting integrated catchment management, J. Environ. Manage., 96 (2012) 116–127.
  48. K.S. Lee, E.S. Chung, Development of integrated watershed management schemes for an intensively urbanized region in Korea, J. Hydro-Environ. Res., 1 (2007) 95–109.
  49. O. Vigiak, D. Rattray, J. McInnes, L.T.H. Newham, A.M. Roberts, Modelling catchment management impact on in-stream phosphorus loads in northern Victoria, J. Environ. Manage., 110 (2012) 215–225.
  50. C. Gutzler, K. Helming, D. Balla, R. Dannowski, D. Deumlich, A. Knierim, W. Mirschel, C. Nendel, C. Paul, S. Sieber, M. Glemnitz, U. Stachow, R. Wieland, A. Wurbs, P. Zander, A. Starick, Agricultural land use changes – a scenario-based sustainability impact assessment for Brandenburg, Germany, Ecol. Indic., 48 (2015) 505–517.
  51. G. Eder, L. Duckstien, H.P. Nachtnebel, Ranking water resource projects and evaluating criteria by multicriterion Q-analysis: an Austrian case study, J. Multi-Crit. Decis. Anal., 6 (1997) 259–271.
  52. D. Al-Rashdan, B. Al-Kloub, A. Dean, T. Al-Shemmeri, Environmental impact assessment and ranking the environmental projects in Jordan. Eur. J. Oper. Res., 118 (1999) 30–45.
  53. M. Flug, H.L.H. Seitz, J.F. Scott, Multicriteria decision analysis applied to Glen Canyon Dam, J. Water Resour. Plan. Manage., 126 (2000) 270–276.
  54. M.E. Qureshi, S.R. Harison, A decision support process to compare Riparian revegetation options in Scheu Creek catchment in North Queensland, J. Environ. Manage., 62 (2001) 101–112.
  55. A. Joubert, T.J. Stewart, R. Eberhard, Evaluation of water supply augmentation and water demand management options for the City of Cape Town, J. Multi-Crit. Decis. Anal., 12 (2003) 17–25.
  56. W.G. Kepner, D.J. Semmens, S.D. Bassett, D.A. Mouat, D.C. Goodrich, Scenario analysis for the San Pedro River, analyzing hydrological consequences of a future environment, Environ. Monit. Assess., 94 (2004) 115–127.
  57. A. Abrishamchi, A. Ebrahimian, M. Tajrishi, M.A. Marino, Application of multicriteria decision making to urban water supply, J. Water Resour. Plan. Manage., 131 (2005) 326–335.
  58. Y. Liu, H. Guo, Z. Zhang, L. Wang, Y. Dai, Y. Fan, An optimization method based on scenario analysis for watershed management under uncertainty, Environ. Manage., 39 (2007) 678–690.
  59. F. Macary, D. Ombredane, D. Uny, A multicriteria spatial analysis of erosion risk into small watersheds in the low Normandy bocage (France) by ELECTRE III method coupled with a GIS, Int. J. Multi-Crit. Decis. Making, 1 (2010) 25–48.
  60. G.A. Mendoza, H. Martins, Multi-criteria decision analysis in natural resources management: a critical review of methods and new modelling paradigms, For. Ecol. Manage., 230 (2006) 1–22.
  61. L. Diaz-Balteiro, C. Romero, Making forestry decisions with multiple criteria: a review and assessment, For. Ecol. Manage., 255 (2008) 3222–3241.
  62. S. Hajkowitz, A. Higgins, A comparison of multiple criteria analysis techniques for water resource management, Eur. J. Oper. Res., 184 (2008) 255–265.
  63. F. Daliri, H.S. Seraji, M. Kholghi, A.H. Dehghanpour, Prioritizing sub-watersheds flooding intensity for structural damaging flood control and managing. Desert, 18 (2013) 153–162.
  64. M.R. Ghanbarpour, K.W. Hipel, Multi-criteria planning approach for ranking of land management alternatives at different spatial scales, Res. J. Environ. Earth Sci., 3 (2011) 167–176.
  65. P. Kanwar, W.B. Bowden, S. Greenhalgh, A regional ecological risk assessment of the Kaipara Harbour, New Zealand, using a relative risk model, Hum. Ecol. Risk Assess., 21 (2015) 1123–1146.
  66. Abgostar-e-Jonoub Consulting Engineering, Watershed Management Studies: Darenari Catchment, Sarvestan County, Report No. 9, Shiraz, Iran, 2012.
  67. J. Cain, Planning Improvements in Natural Resources Management, Centre for Ecology and Hydrology, Wallingford, Oxon, UK, 2001.
  68. J. Williams, R. Bird, K. Junor, Native Vegetation 3: Revegetating the Farm, On Farm Magazine, 2002.
  69. S.K. Mishra, V.P. Singh, Long-term hydrological simulation based on the Soil Conservation Service curve number, Hydrol. Processes, 18 (2004) 1291–1313.
  70. X. Zhan, M.L. Huang, ArcCN-Runoff: an ArcGIS tool for generating curve number and runoff maps, Environ. Modell. Softw., 19 (2004) 875–879.
  71. C. Michel, V. Andréassian, C. Perrin, Soil conservation service curve number method: how to mend a wrong soil moisture accounting procedure? Water Resour. Res., 41 (2005) 1–6.
  72. P. Romero, G. Castro, J.A. Gómez, E. Fereres, Curve number values for olive orchards under different soil management, Soil Sci. Soc. Am. J., 71 (2007) 1758–1769.
  73. K.W. King, J.C. Balogh, Curve numbers for golf course watersheds, Trans. ASABE, 51 (2008) 987–996.
  74. K.X. Soulis, J.D. Valiantzas, SCS-CN parameter determination using rainfall-runoff data in heterogeneous watersheds – the two-CN system approach, Hydrol. Earth Syst. Sci., 16 (2012) 1001–1015.
  75. M.Kh. Askar, Rainfall-runoff model using the SCS-CN method and geographic information systems: a case study of Gomal River watershed, WIT Trans. Ecol. Environ., 178 (2014) 159–170.
  76. D.E. Woodward, R.H. Hawkins, A.T. Hjelmfelt Jr., J.A. Van Mullem, Q.D. Quan, Curve Number Method: Origins, Applications and Limitations, USDA NRCS, Washington., Hydraulic Engineer, USDA ARS, MO.
  77. A. Sadoddin, V. Sheikh, R. Mostafazadeh, M.Gh. Halili, Multiple-criteria Decision Making for Integrated Watershed Management in the Ramian Watershed, Golestan, Iran, iEMSs: International Congress on Environmental Modelling and Software, Barcelona, Spain, 2008.
  78. E. Barran, T. Jantunen, Stakeholder Consultation for Bayesian Decision Support Systems in Environmental Management, Proc. Regional Conference on Ecological and Environmental Modeling (ECOMOD), Universiti Sains Malaysia, Penang, Malaysia, 2004.
  79. W.G. Cochran, Sampling Techniques, 3rd ed., John Wiley & Sons, New York, 1977.
  80. R.J. Harshbarger, J.J. Reynolds, Mathematical Applications for the Management, Life, and Social Sciences, D.C. Heath and Company, Lexington, Massachusetts, 2003.
  81. A. Said, The implementation of a Bayesian network for watershed management decisions, Water Resour. Manage., 20 (2006) 591–605.
  82. D. Parkes, G. Newell, D. Cheal, Assessing the quality of native vegetation: the ‘habitat hectares’ approach, Ecol. Manage. Restor., 4 (2003) 29–38.
  83. S. Belton, T.S. Stewart, Multiple Criteria Decision Analysis: An Integrated Approach, Kluwer Academic Publishers, Massachusetts, USA, 2002.
  84. J. Mingers, Variety is the spice of life: combining soft and hard OR/MS methods, Int. Trans. Oper. Res., 7 (2000) 673–691.