dc.creatorEsmi
dc.creatorEstevao; Barroso
dc.creatorGustavo; Barros
dc.creatorLaecio C.; Sussner
dc.creatorPeter
dc.date2015
dc.date2016-06-07T13:23:03Z
dc.date2016-06-07T13:23:03Z
dc.date.accessioned2018-03-29T01:42:33Z
dc.date.available2018-03-29T01:42:33Z
dc.identifier978-94-62520-77-6
dc.identifierA Family Of Joint Possibility Distributions For Adding Interactive Fuzzy Numbers Inspired By Biomathematical Models. Atlantis Press, v. 89, p. 1318-1323 2015.
dc.identifier1951-6851
dc.identifierWOS:000358581100185
dc.identifier
dc.identifierhttp://www.atlantis-press.com/php/pub.php?publication=ifsa-eusflat-15&frame=http%3A//www.atlantis-press.com/php/paper-details.php%3Fid%3D23697
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/243305
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1307003
dc.descriptionIn many models for real-world problems such as the law of conservation of energy, the sum of parameters must be zero. In this paper, we investigate the problem of adding fuzzy numbers using the extension principle based on the concept of the joint possibility distribution. In particular, we present a formula to produce a family of joint possibility distribution indexed by a parameter gamma for a given pair of fuzzy numbers, say A(1) and A(2), such that the norm of the corresponding sums of A(1) and A(2) form a increasing mapping with respect to gamma.
dc.description89
dc.description
dc.description
dc.description1318
dc.description1323
dc.description
dc.description
dc.description
dc.languageen
dc.publisherATLANTIS PRESS
dc.publisher
dc.publisherPARIS
dc.relationPROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY
dc.rightsfechado
dc.sourceWOS
dc.subjectComputer Science, Artificial Intelligence
dc.titleA Family Of Joint Possibility Distributions For Adding Interactive Fuzzy Numbers Inspired By Biomathematical Models
dc.typeActas de congresos


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