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Type: Artigo de evento
Title: A Family Of Joint Possibility Distributions For Adding Interactive Fuzzy Numbers Inspired By Biomathematical Models
Author: Esmi
Estevao; Barroso
Gustavo; Barros
Laecio C.; Sussner
Abstract: In 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.
Subject: Computer Science, Artificial Intelligence
Country: PARIS
Rights: fechado
Identifier DOI: 
Date Issue: 2015
Appears in Collections:Unicamp - Artigos e Outros Documentos

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