Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/5149
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dc.contributor.authorSingh, Jagdev-
dc.contributor.authorSingh, Nirmal-
dc.contributor.authorSharma, J K-
dc.date.accessioned2009-07-03T14:04:42Z-
dc.date.available2009-07-03T14:04:42Z-
dc.date.issued2005-06-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/5149-
dc.description420-425en_US
dc.description.abstractIn this paper, methods based on similarity analysis that can be applied to fuzzy models in order to obtain models of reduced complexity and qualitative properties depending on the purpose of the modeling exercise have been presented. The application of fuzzy modeling technique to fan-coil unit of an HVAC system has shown that the originally obtained model can be strongly reduced, allowing for qualitative interpretation, and faster computations, without deteriorating the prediction accuracy.en_US
dc.language.isoen_USen_US
dc.publisherCSIRen_US
dc.relation.ispartofseriesG 05 B 15/02en_US
dc.sourceJSIR Vol.64(06) [June 2005]en_US
dc.subjectFuzzy modelingen_US
dc.subjectHVAC systemen_US
dc.subjectFan - coil uniten_US
dc.titleComplexity reduction in fuzzy modeling of fan-coil unit of HVAC systemen_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.64(06) [June 2005]

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