It is a well-known fact that water is the basic need of human beings. The industrial wastes nearby rivers and several anthropogenic activities are responsible for deteriorating water quality of rivers in India. The present research paper deals with the design and development of soft computing system to assess the water quality of rivers Ganga and Yamuna during the Maha Kumbh 2013 in and around Sangam Zone, Allahabad, by making use of physicochemical parameters relationship. 1. Introduction The role of water in human life is important as it plays a vital role in the mechanics of human body. Human body is a water machine designed to run primarily on water and minerals. The movement of water within our cellular system also transports vital blood plasma, 92% of which is made up of water. It confirms the quality of water we consume will have severe impact on our overall state of health. Our brain contains over 80% water and controls each and every process that happens inside our body. Considering the vital role that water plays in our brain and nervous system is key to longevity. The purity of water we drink causes impact on our strength and energy level. Hindus believe that river Ganga is physically and spiritually pure and it removes all sins committed by human being during life time, normally by taking a dip in it. The mythological belief of Hindus regarding Ganga is on its threshold due to dangerous chemical contaminants related to industries and sewage system of towns close to it as well as human and animal wastes, and water quality deteriorates rapidly downstream. Nonetheless, 80% of the health problems in contemporary India come from waterborne diseases. In order to improve water quality of rivers a systematic scientific approach has been made by Meyer [1], Harmancioglu et al. [2], Rosemary et al. [3], and many other scientists in terms of their chemical, biological, and nutrient constituents. However, discrepancies appeared due to the uncertainty in the quality criteria employed and the imprecision, vagueness, or fuzziness in the decision-making output values. It is a well-known fact that decision-making processes in real life problems are too complex, and to handle such issue Zadeh introduced the concept of fuzzy [4] and consequently he published a series of papers that show how his idea can be used in real applications. The decision-making process in the presence of fuzzy variables was introduced by Jain [5] and later on Bellman and Zadeh [6] proposed application of fuzzy tools in the fuzzy environment. During the last phase of the twentieth
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