Performance Index Modeling for Urban Water System Using Hierarchical Fuzzy Inference Approach

Abstract

In developing country like India, water management is growing exploding and all these water resources should maintain in the developing countries. There are many failures in the urban water system occur because of lack of assessment of present and future conditions. This needs a performance assessment method to assess performance and inform any irregularity for better performance of the urban water system. In this paper, we find performance index value through an integrated hierarchical fuzzy inference approach for urban water system. There are eight important parameters used as input for the proposed integrated hierarchical fuzzy inference model. This integrated modeling minimizes the different conditions in the rule base. For a very large set, reduction in rule is significant because of simplicity and interpretation. Additional, it is very important to design many rules because that requires skilled expertise; otherwise, it will lead to unexpected incidents. As compared to traditional fuzzy inference with integrated hierarchical fuzzy inference, a design that needs only fewer rules. For the proposed model, we take only 165 rules and for the similar eight variables, the traditional inference approach of fuzzy requires 250,000 rules. For this study, we select eight variables as input because these taken from the survey of a city. This proposed method will also used for the system with several parameters. In traditional fuzzy inference, there are several rules exponentially increases, also with the additional of new parameters. Integrated hierarchical fuzzy inference approach used for computing the performance index of the whole system. The index values traces the possibility of system failure and results shows the performance values under different circumstances.