Multicriterion Fuzzy Decision Making in Irrigation Planning

Rajkumar ¹ , S. Udayakumar²

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.2 , pp.325-333, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i2.325333

Online published on Apr 30, 2019

Copyright © Rajkumar, S. Udayakumar . 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 :
Relative importance or weight of criterion indicate the main concern assigned to the condition by the decision-maker while ranking the alternatives in a multicriterion decision making (MCDM) environment. Multicriterion decision making (MCDM) has emerged as an effective methodology due to its ability to merge quantitative and qualitative criteria selection of the best option. Concurrently, fuzzy logic is in advance significance due to its flexibility in managing imprecise individual data. In the present study two fuzzy logic-based MCDM methods, namely similarity analysis (SA) and Decision analysis (DA), are adopted and developed as a fuzzy decision system(FUDS) and applied to a case study of the Aringar Anna Sugar Project(AASP),Thanjavur,Tamilnadu,India,for selecting the best-performing irrigation subsystem. It is found that both SA and DA recommended the same irrigation subsystem as the most excellent. It is fulfilled that application of fuzzy logic methodology for real-world decision-making problems is create to be efficient.

Key-Words / Index Term :
Multi criteria decision making, Fuzzy logic, FUDS, SA,DA

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