Automatic generation of fuzzy rules from data by fuzzy clustering and particle swarm optimization

This paper focuses on building a rule based model for a water supplying network using particle swarm optimization and fuzzy clustering. There are various fundamental problems of water supply distribution networks namely distance, quantity, demand, elevation etc. Depending on these factors we get the water at receiving ends in terms of quantity, pressure etc. An algorithm is proposed to obtain desirable rule based model for the above problem using particle swarm optimization which can further help in simulation and deciding various factors of input so that required output can be obtained.