Premium
Propagating uncertain information forward
Author(s) -
de Campos Luis M.,
Moral Serafin
Publication year - 1992
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.4550070104
Subject(s) - computer science , class (philosophy) , order (exchange) , fuzzy logic , mechanism (biology) , mathematical optimization , upper and lower bounds , mathematics , artificial intelligence , mathematical analysis , finance , economics , philosophy , epistemology
In order to propagate uncertain information through a belief network, we need tools for both forward and backward propagation. In this article we propose a mechanism to propagate uncertain information represented by a very general class of fuzzy measures (namely, lower and upper probabilities) forward. Once the general solution to this problem is established, we study several interesting particular cases by considering classes of fuzzy measures more restrictive than lower and upper probabilities. Finally, in order to handle only possibility measures, some approximation techniques of the resultant measures are considered.