Cropping pattern planning under water supply from multiple sources

Tsakiris, G; Spiliotis, M

dc.contributor.author	Tsakiris, G	en
dc.contributor.author	Spiliotis, M	en
dc.date.accessioned	2014-03-01T01:23:45Z
dc.date.available	2014-03-01T01:23:45Z
dc.date.issued	2006	en
dc.identifier.issn	01686291	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17131
dc.subject	Cropping pattern	en
dc.subject	Fuzzy sets	en
dc.subject	Goal programming	en
dc.subject	Irrigation development planning	en
dc.subject	Multi-criteria approach	en
dc.subject.other	Agriculture	en
dc.subject.other	Crops	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Planning	en
dc.subject.other	Water supply	en
dc.subject.other	Cropping pattern	en
dc.subject.other	Goal programming	en
dc.subject.other	Irrigation development planning	en
dc.subject.other	Irrigation	en
dc.subject.other	Agriculture	en
dc.subject.other	Crops	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Irrigation	en
dc.subject.other	Planning	en
dc.subject.other	Water supply	en
dc.subject.other	cropping practice	en
dc.subject.other	fuzzy mathematics	en
dc.subject.other	irrigation system	en
dc.subject.other	multicriteria analysis	en
dc.subject.other	optimization	en
dc.subject.other	water supply	en
dc.subject.other	Eurasia	en
dc.subject.other	Europe	en
dc.subject.other	Greece	en
dc.subject.other	Southern Europe	en
dc.title	Cropping pattern planning under water supply from multiple sources	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s10795-006-5426-y	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s10795-006-5426-y	en
heal.publicationDate	2006	en
heal.abstract	Conventionally, irrigation development planning has been based on cropping pattern selection aiming at maximizing the revenue from irrigation activities. In the real world however, several complexities make the cropping pattern selection a more complicated mathematical problem. Of great interest is the case of water supply from multiple sources (e.g. surface and groundwater) in which a multi-criteria approach is most appropriate. Goal programming has been used in the past to solve cropping pattern selection problems, with criteria of a similar nature, the net benefit being included as a constraint. This paper presents a methodology, based on the fuzzy set theory, for enhancing the goal programming approach to solve similar problems under various sets of criteria of a different nature. In the proposed methodology the net benefit maximization is considered together with all other criteria. The methodology is illustrated using data from the Thessaly Plain in Greece. © Springer Science + Business Media, Inc. 2006.	en
heal.journalName	Irrigation and Drainage Systems	en
dc.identifier.doi	10.1007/s10795-006-5426-y	en
dc.identifier.volume	20	en
dc.identifier.issue	1	en
dc.identifier.spage	57	en
dc.identifier.epage	68	en