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Which is the better rule? the multiplication rule or the minimum rule for fuzzy set intersection

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dc.contributor.author Dassanayake, VPC
dc.contributor.editor Wijesiriwardana, CP
dc.date.accessioned 2022-12-05T05:22:29Z
dc.date.available 2022-12-05T05:22:29Z
dc.date.issued 2018
dc.identifier.citation V. Palitha and C. Dassanayake, "Which is the Better Rule? The Multiplication Rule or The Minimum Rule for Fuzzy Set Intersection," 2018 3rd International Conference on Information Technology Research (ICITR), 2018, pp. 1-4, doi: 10.1109/ICITR.2018.8736140. en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19628
dc.description.abstract The author introduces a term called total belongingness indicator of an element by adding the partial belongingness of the element to a number of sets. When the universal set is constructed by obtaining the union of disjoints sets, it is justified that the total belongingness indicator of an element to all the disjoint sets is equal to one. The author proves that this condition only satisfies for the multiplication rule and not for the minimum rule irrespective of the application. Hence it can be concluded that for the intersection of two fuzzy sets, the multiplication rule is more accurate and appropriate whereas the minimum rule is only an approximation. An example is illustrated to show that the multiplication rule is more appropriate than the minimum rule by defining the same problem in slightly different ways. In addition, a method is proposed in calculating the union of two sets when the multiplication rule is applied as the intersection of two fuzzy sets. en_US
dc.language.iso en en_US
dc.publisher Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa, Sri Lanka en_US
dc.relation.uri https://ieeexplore.ieee.org/document/8736140 en_US
dc.subject fuzzy set intersection en_US
dc.subject Multiplication rule en_US
dc.subject Minimum rule en_US
dc.subject Total belongingness indicator en_US
dc.title Which is the better rule? the multiplication rule or the minimum rule for fuzzy set intersection en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.identifier.year 2018 en_US
dc.identifier.conference 3rd International Conference on Information Technology Research 2018 en_US
dc.identifier.proceeding Proceedings of the 3rd International Conference in Information Technology Research 2018 en_US
dc.identifier.email palitha@uom.lk en_US
dc.identifier.doi doi: 10.1109/ICITR.2018.8736140 en_US


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  • ICITR - 2018 [34]
    International Conference on Information Technology Research (ICITR)

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