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dc.contributor.authorMuhammad Zaini, Ahmad
dc.contributor.authorBernard, De Baets
dc.date.accessioned2009-08-11T03:05:26Z
dc.date.available2009-08-11T03:05:26Z
dc.date.issued2009-07
dc.identifier.citationp.1311-1314en_US
dc.identifier.isbn978-989-95079-6-8
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/6798
dc.descriptionOrganized by International Fuzzy Systems Association and European Society for Fuzzy Logic and Technology, 20th - 24th July 2009 in Lisbon, Portugal.en_US
dc.description.abstractThe aim of this paper is to study a predator-prey population model which takes into account the uncertainty that arises when determining the initial populations of predator and prey. This model is solved numerically by means of a 4th-order Runge-Kutta method. Simulations are made and a graphical representation is also provided to show the evolution of both populations over time. In addition to that, a new phase-plane in this fuzzy setting, referred to as fuzzy phase-plane, is introduced. The stability of the equilibrium points is also described. Finally, this paper points out a new research direction on fuzzy dynamical systems, especially in non-linear cases.en_US
dc.language.isoenen_US
dc.publisherInternational Fuzzy Systems Association and European Society for Fuzzy Logic and Technologyen_US
dc.relation.ispartofseries2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conferenceen_US
dc.subjectEquilibrium pointsen_US
dc.subjectFuzzy predator-prey population modelen_US
dc.subjectFuzzy phase-planeen_US
dc.subjectFuzzy stabilityen_US
dc.subjectUncertaintyen_US
dc.subjectPredation (Biology)en_US
dc.subjectPredation (Biology) -- Mathematical modelsen_US
dc.titleA predator prey model with Fuzzy initial populationsen_US
dc.typeWorking Paperen_US


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