South Indian River Ranking using Fuzzy Analytic Hierarchy Process

A. Rajkumar¹ , M.Chandramohan ²

Section:Review Paper, Product Type: Isroset-Journal
Vol.5 , Issue.5 , pp.51-59, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v5i5.5159

Online published on Oct 31, 2018

Copyright © A. Rajkumar, M.Chandramohan . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Nowadays, water resource management should be managed in integrated manner including water quality, water quantity, land use and economy, especially when we wanted to find the highest potential river to be developed for efficient use of water systems. Water resources planning and management should consider various aspects of river basins. Current river ranking techniques namely, water quality index, and national water quality standard were found to only consider water quality aspects. In this study a special focus is given on the method that deals with vague data which the decision making accounted during data acquisition. The river ranking problem is a strategic issue and has significant impact on the efficiency of a river system. On the other hand, the river ranking among many alternatives presents a multi-criteria decision Making (MCDM) problem. Hence, fuzzy set theory can be applied. Fuzzy Analytic Hierarchy Process (FAHP) technique is used to rank alternatives to find the efficient use of the river system. Fuzzy number and linguistic variable are used to in-currently vague data. Four criteria and twenty sub criteria and identify, tested and applied to real data. The FAHP is used to analyze the structure of the river ranking problem. A real world application is conducted to illustrate the utilization of the model using the valuable data pertaining to a six south Indian rivers. The application can interpreted as demonstrating the effectiveness and feasibility of the FHAP model.

Key-Words / Index Term :
FAHP, MCDM, WQI, Triangular fuzzy Number

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