[1] Bureau of Indian Standard, “Indian Standard Specification for Drinking Water,” BIS Publication No. IS (10501), New Delhi, 1991.
[2] World Health Organization, “Guidelines for Drinking Water Quality Recommendation,” Vol. 2, World Health Organization, Geneva, 2008.
[3] M. F. Dahab, Y. W. Lee and I. Bogardi, “A Rule Based Fuzzy-Set Approach to Risk Analysis of Nitrate Contaminated Groundwater,” Water Sciences Technology, Vol. 30, No. 7, 1994, pp. 45-52.
[4] B. Dixon, “Prediction of Groundwater Vulnerability Using an Integrated GIS Based Neuro-Fuzzy Techniques,” Journal of Spatial Hydrology, Vol. 4, No. 2, 2004, pp. 38-41.
[5] R. Khaiwal and V. K. Garg, “Distribution of Fluoride in Groundwater and its Suitability Assessment for Drinking Purposes,” International Journal of Environmental Hea- lth Research, Vol. 16, No. 2, 2006, pp. 163-166.
[6] K. Schulz and B. Howe, “Uncertainty and Sensitivity Analysis of Water Transport Modeling in a Layered Soil Profile Using Fuzzy Set Theory,” Journal of Hydroin-formatics, Vol. 1, No. 2, 1999, pp. 127-138.
[7] B. Dixon, H. D. Scott, J. C. Dixon and K. F. Steele, “Prediction of Aquifer Vulnerability to Pesticides Using Fuzzy-Rule Based Models of the Regional Scale,” Physical Geography, Vol. 23, 2002, pp. 130-152.
[8] B. Dixon, “Application of Neuro-Fuzzy Techniques in Predicting Groundwater Vulnerability: A GIS Based Sensitivity Analysis,” Journal of Hydrology, Vol. 309, No. 1-4, 2005, pp. 17-38.
[9] S. M. Preveena, M. H. Abdullah, A. Z. Aris and K. Bidin, “Groundwater Solution Techniques: Environmental Ap-plications,” Journal of Water Resource and Protection, Vol. 2, 2010, pp. 8-13.
[10] Z. K. Sen, “Fuzzy Groundwater Classification Rule Derivation from Quality Maps,” Water Quality Exposure Health, Vol. 1, No. 1, 2009, pp. 115-112.
[11] American Public Health Association, “Standard Method for Examination of Water and Waste Water,” 21st Edition, American Public Health Association, Washington, DC., 2005.
[12] B. Shomar, S. A. Fkher and Alfred Yahya, “Assessment of Groundwater Quality in the Gaza Strip, Palestine Using GIS Mapping,” Journal of Water Resource and Protection, Vol. 2, No. 2, 2010, pp. 93-104.
[13] V. Kumar, N. S. Mathew and G. Swaminathan, “Fuzzy Information Processing for as Assessment of Groundwater Quality,” International Journal of Soft Computing, Vol. 4, No. 1, 2009, pp. 1-9.
[14] Z. Chen, G. H. Huan and A. Chakma, “Hybrid Fuzzy-Stochastic Modeling Approach for Assessing Environmental Risks at Contaminated Groundwater Systems,” Journal of Environmental Engineering, Vol. 129, 2003, pp. 79-88.
[15] S. Liou and S. A. L. Wang, “Generalized Water Quality Index for Taiwan,” Environmental Monitor Assessment, Vol. 9635-52, 2004.
[16] S. Liou and S. L. Lo, “A Fuzzy Index Model for Tropic Status Evolution of Reservoir Waters,” Water Research, Vol. 96, No. 1, 2004, pp. 35-52.
[17] L. A. Zadeh, “Fuzzy Set,” Information Control, Vol. 8, No. 3, 1965, pp. 338-353.
[18] L. A. Zadeh, ‘The Concept of a Linguistic Variable and Its Application to Approximate Reasoning,” Information Science, Vol. 8, 1975, pp. 199-249.
[19] M. Jamshidi, “Tools for Intelligent Control: Fuzzy Controllers, Neural Networks and Genetic Algorithms,” Philosophical Transactions of the Royal Society, Vol. 361, No. 1809, 2003, pp. 1781-1808.
[20] C. Okoliand and S. D. Pawlowski, “The Delphi Method as a Research Tool an Example, Design Considerations and Applications,” Information and Management, Vol. 42, No. 1, 2004, pp. 15-29.
[21] V. K. Garg, S. Dahiya, A. Chaudhary and Deepshikha “Fluoride Distribution in Underground Waters of Jind District, Haryana, India,” Ecology Environmental Con-servation, Vol. 4, No. 172, 1998, pp. 19-23
[22] E. M. Mamdani, “Advances in the Linguistic Synthesis of Fuzzy Controllers,” International Journal of Man-Machine Studies, Vol. 8, No. 6, 1976, pp. 669-678.
[23] N. Chang, H. W. Chen and S. K. King, “Identification of River Water Quality Using the Fuzzy Synthetic Evaluation Approach,” Journal Environmental Management, Vol. 63, 2001, pp. 293-305.
[24] C.O. Cude, “Water Quality Index: A Tool for Evaluation Water Quality Management Effectiveness,” Journal of the American Water Resources Association, Vol. 37, No. 1, 2001, pp. 125-137.