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dc.contributor.authorOmina, J
dc.contributor.authorKahonge, AM
dc.contributor.authorMoturi, CA
dc.date.accessioned2013-06-17T06:48:37Z
dc.date.available2013-06-17T06:48:37Z
dc.date.issued2012
dc.identifier.citationOmina, J, Kahonge AM, Moturi CA. 2012. An Intelligent Traffic Light Control System Based on Fuzzy Logic Algorithm. 1st Annual International Interdisciplinary Conference. , Catholic University of Eastern Africa, Nairobi, Kenya: Journal of Mathematics and Mathematical Sciences(PMMS)en
dc.identifier.urihttp://profiles.uonbi.ac.ke/moturi/publications/j-omina-am-kahonge-ca-moturi-intelligent-traffic-light-control-system-based-fuzz
dc.identifier.urihttp://hdl.handle.net/11295/34655
dc.description.abstractThis article reveals that the concept of education as a process of growth is a difficult one. Philosophers are, therefore, justified in being weary when pondering over its meaning, both in theory and practice. By way of conclusion, the article appreciates the complexities inherent in the growth theory of education, summarizing its major strength and weaknesses. Then it cautions educational planners and practitioners to be weary when, and if, they translate the theory into practice, so that they utilize the strengths inherent in the theory whilst paying attention to the dangers of its inherent weaknessesen
dc.language.isoenen
dc.titleAn Intelligent Traffic Light Control System Based on Fuzzy Logic Algorithmen
dc.typeArticleen
local.publisherSchool of computing and informatics, University of Nairobien


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