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A rational method for assessing irrigation performance at farm level with the aid of fuzzy set theory

Lookup NU author(s): John Gowing


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Of the various client groups with interests in irrigation system performance, farmers are probably the least often considered. This is, at least in part, attributable to the profound difficulty encountered in attempting to obtain reliable measurements of performance at farm level in most systems. Yet irrigation systems should be seen as a service to farmers, whose perspective on the utility of the supply is an important component of performance monitoring. Direct measurement at field level is generally not feasible and an alternative approach is proposed utilising fuzzy set theory. The procedure can be seen as a rapid appraisal technique which is also applicable to performance assessment in informal farmer-managed systems. The usefulness of the approach lies in its ability to gather data in imprecise linguistic terms from individual farmers and to aggregate them rationally and objectively. © 1996 Kluwer Academic Publishers.

Publication metadata

Author(s): Gowing J, Tarimo A, El-Awad O

Publication type: Article

Publication status: Published

Journal: Irrigation and Drainage Systems

Year: 1996

Volume: 10

Issue: 4

Pages: 319-330

Print publication date: 01/11/1996

ISSN (print): 0168-6291

ISSN (electronic): 1573-0654

Publisher: Springer


DOI: 10.1007/BF01104896


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