References

  1. W. Silvert, Ecological impact classification with fuzzy sets, Ecol. Mod. 96 (1997) 1–10.
  2. P.W. Bolton, J.C. Currie, D.J. Tervet, W.T. Welsh, An index to improve water quality classification, Water Pollution Cont. 77 (1978) 271–284.
  3. D.S. Bhargava, Use of a water quality index for river classification and zoning of Ganga River, Env. Pol. Ser. B: Che. Phy. 6 (1983) 51–67.
  4. H.F. Dallas, A preliminary evaluation of aspects of SASS 5 (South African Scoring System) for the rapid bioassessment water quality in rivers, with particular reference to the incorporation of SASS 5 in a national biomonitoring programme, J. Aquatic Sci. 23 (1997) 79–94.
  5. D.J. Ollis, H.F. Dallas, K.J. Esler, C. Boucher, Bioassessment of the ecological integrity of river ecosystem using macroinvertebrates: an overview with a focus on South Africa, African J. Aquatic Sci. 31 (2006) 205–227.
  6. M. Wei1, Z. Nan, Z. Yuan, Z. Binghui, Integrated assessment of river health based on water quality, aquatic life and physical habitat, J. Env. Sci. 21 (2009) 1017–1027.
  7. C.O. Cude, Water quality index: a tool for evaluating water quality management effectiveness, J. Am. Wat. Resour. Assoc. 37 (2001) 125–137.
  8. S. Liou, S. Lo, S. Wang, A generalized water quality index for Taiwan, Env. Monit. Assess. 96 (2004) 35–52.
  9. S. Munyika, V. Kongo, R. Kimwaga, River health assessment using macroinvertebrates and water quality parameters: A case of the Orange River in Namibia, Physics and Chemistry of the Ear. 76–78 (2014) 140–148.
  10. G.S. Silva, W. Jardim, F. De, A new water quality index for aquatic life protection applied to the Atibaia river, region of Campinas / Paulínea - SP, New chemical 29 (2006) 689–694.
  11. F. Nasiri, I. Maqsood, G. Huang, N. Fuller, Water quality index: A fuzzy river pollution decision support expert system, J. Wat. Res. Pla. Manag. 133 (2007) 95–105.
  12. N.S. Yadav, A. Kumar, M.P. Sharma, Ecological health assessment of Chambal River using water quality parameters. J. Integ. Sci. Tech. 2 (2014) 52–56.
  13. N.S. Yadav, A. Kumar, M.P. Sharma, Ecological health assessment of Chambal River, India, J. Mater. Environ. Sci. 6 (2015) 613–618.
  14. N.S. Yadav, A. Kumar, M.P. Sharma, Assessment of ecological health of Chambal River using plant species diversity, J. Mater. Environ. Sci. 6 (2015) 2624–2630.
  15. A. Kumar, M.P. Sharma, N.S. Yadav, Assessment of water quality changes at two locations of Chambal River: M.P, J. Mater. Environ. Sci. 5 (2014) 1781–1785.
  16. Kumar, M.P. Sharma, N.S. Yadav, Assessment of River health of Chambal River based on Biological Communities, India, J. Mater. Environ. Sci. 6 (2015) 3045–3053.
  17. S. Mishra, M.P. Sharma, A. Kumar, Assessment of Water Bodies using Eco-exergy based Ecological health index Methodology, J. Mater. Environ. Sci. 6 (2015) 2631–2646.
  18. NSFWQI, National Sanitation Foundation International. (2007). Accessed on October of 2015, Available from: http://home.eng.iastate.edu/~dslutz/dmrwqn/water_quality_index_calc.htm
  19. V.K. Patki, S. Shrihari, B. Manu, P.C. Deka, Fuzzy system modeling for forecasting water quality index in municipal distribution system, Urb. Wat. J. 12 (2015) 89–110.
  20. H. Gharibi, A.H. Mahvi, R. Nabizadeh, H. Arabalibeik, M. Yunesian, M.H. Sowlat, A novel approach in water quality assessment based on fuzzy logic, J. Env. Manag. 112 (2012) 87–95.
  21. A. Lermontov, L. Yokoyama, M. Lermotov, M.M. Soares, River quality analysis using fuzzy water quality index: Ribeira do Iguape river watershed Brazil, Ecol. Ind. 9 (2009) 1188–1197.
  22. S.M. Lion, S.L. Lo, C.Y. Hu, Application of two stage Fuzzy set theory to river quality evaluation in Taiwan, Wat. Res. 37 (2003) 1406–1416.
  23. I. Yilmaz, Fuzzy evaluation of water quality classification, Ecol. Ind. 7 (2007) 710–718.
  24. W. Duque-Ocampo, N. Ferre-Huguet, J.L. Domingo, M. Schuhmacher, Assessing water quality in rivers with fuzzy logic inference systems: A case study, Env. Inter. 32 (2006) 733–742.
  25. L.A. Zadeh, Fuzzy sets. Inf. Cont. 8 (1965) 338–353.
  26. A. Nema, R. Rai, Fuzzy application to groundwater classification. Thesis (MTech). IIT, Delhi, India, 2008.
  27. R.V. Bai, R. Bouwmeester, S. Mohan, Fuzzy logic water quality index and importance of water quality parameters, Air, Soil and Wat. Res. 2 (2009) 51–59.
  28. S.R.M.M. Roveda, A.P.M. Bondança, J.G.S. Silva, J.A.F. Roveda, A.H. Rosa, Development of a water quality index using a fuzzy logic: A case study for the Sorocaba river. IEEE World Congress on Computational Intelligence, WCCI 2010, Art. No. 5584172.
  29. R.E. Carlson, More complications in the Chlorophyll a- Secchi disc relationship, Limnology and Oceanography. 25 (1980) 378–382.
  30. P.P. Bonissone, Soft computing: the convergence of emerging reasoning technologies, Soft. Comput. 1 (1997) 6–18.
  31. L. Zadeh, Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans, Syst. Man. Cybern. 3 (1973) 28–44.
  32. A. Saffiotti, The uses of fuzzy logic in autonomous robot navigation, Soft. Comput. 1 (1997) 180–197.
  33. L.L. Di, A. Gisolfi, A. Albunia, G. Galardi, F. Meschi, A fuzzybased methodology for the analysis of diabetic neuropathy, Fuzzy Sets Syst. 129 (2002) 203–228.
  34. H.M. Lee, Applying fuzzy set theory to evaluate the rate of aggregative risk in software development, Fuz. Set. Syst. 79 (1996) 323–336.
  35. R. Sadiq, Y. Kleiner, B. Rajani, Aggregative risk analysis for water quality failure in distribution networks, J. Water Supply: Res. Technol. Aqua 53 (2004) 241–261.
  36. A.K. Lohani, N. Goel, K. Bhatia, Takagi-Sugeno fuzzy inference system for modeling stage–discharge relationship, J. Hydrol. 331 (2006) 146–160.
  37. Lohani, A., Kumar, R., Singh, R. Hydrological time series modeling: a comparison between adaptive neuro-fuzzy, neural network and autoregressive techniques, J. Hydrol. 442 (2012) 23–35.
  38. A.K. Lohani, N. Goel, K. Bhatia, Improving real time flood forecasting using fuzzy inference system, J. Hydrol. 509 (2014) 25–41.
  39. M. Kucukmehmetoglu, Z. Sen, M. Ozger, Coalition possibility of riparian countries via game theory and fuzzy logic models, Wat. Res. Res. 46 (2010) 1–20.
  40. S.P. Rai, N. Sharma, A. K. Lohani, Risk assessment for Transboundary Rivers using fuzzy synthetic evaluation technique, J. Hydro. 519 (2014) 1551–1559.
  41. K.W. Chau, A review on integration of artificial intelligence into water quality modelling. Mar. Poll. Bull. 52 (2006) 726–733.
  42. T.J. Ross, Fuzzy Logic with Engineering Applications. John Wiley & Sons, New York, (2004).
  43. R.R. Yager, On a general class of fuzzy connectives, Fuz. Set. Sys. 4 (1980) 235–242.
  44. Zadeh, L.A., 1994. Soft.
  45. Khan, F.I., Sadiq, R., 2005. Risk-based prioritization of air pollution monitoring using fuzzy synthetic evaluation technique, Environ. Monit. Assess. 105 (1–3) 261–283.