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FUZZY DATA ENVELOPMENT ANALYSIS FOR PERFORMANCE EVALUATION OF AN IRRIGATION SYSTEM
Author(s) -
Srinivasa Raju K.,
Nagesh Kumar D.
Publication year - 2013
Publication title -
irrigation and drainage
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 38
eISSN - 1531-0361
pISSN - 1531-0353
DOI - 10.1002/ird.1721
Subject(s) - data envelopment analysis , fuzzy logic , spearman's rank correlation coefficient , productivity , rank (graph theory) , selection (genetic algorithm) , irrigation , computer science , agricultural engineering , statistics , operations research , mathematics , engineering , economics , artificial intelligence , ecology , biology , combinatorics , macroeconomics
ABSTRACT Sixteen irrigation subsystems of the Mahi Bajaj Sagar Project, Rajasthan, India, are evaluated and selection of the most suitable/best is made using data envelopment analysis (DEA) in both deterministic and fuzzy environments. Seven performance‐related indicators, namely, land development works (LDW), timely supply of inputs (TSI), conjunctive use of water resources (CUW), participation of farmers (PF), environmental conservation (EC), economic impact (EI) and crop productivity (CPR) are considered. Of the seven, LDW, TSI, CUW, PF and EC are considered inputs, whereas CPR and EI are considered outputs for DEA modelling purposes. Spearman rank correlation coefficient values are also computed for various scenarios. It is concluded that DEA in both deterministic and fuzzy environments is useful for the present problem. However, the outcome of fuzzy DEA may be explored for further analysis due to its simple, effective data and discrimination handling procedure. It is inferred that the present study can be explored for similar situations with suitable modifications. Copyright © 2013 John Wiley & Sons, Ltd.