MATHEMATICAL FOUNDATIONS OF PROBABILISTIC ESTIMATION IN FUZZY BAYESIAN BELIEF NETWORKS

被引：1

作者：

Parasyuk, I. M. ^{[1
]}

Verovka, O. V. ^{[1
]}

机构：

[1] Natl Acad Sci Ukraine, VM Glushkov Cybernet Inst, Kiev, Ukraine

来源：

CYBERNETICS AND SYSTEMS ANALYSIS | 2016年 / 52卷 / 02期

关键词：

Bayesian belief network; fuzzy probability estimate; correctness of fuzzy computations; binary network; nondeterministic state;

D O I：

10.1007/s10559-016-9816-3

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Specific problems arising in the creation of Bayesian networks for processing fuzzy information are considered. Conditions are obtained that ensure the probabilistic correctness of a priori data and results of network computing. For the case of nondeterministic states of network vertices, a fuzzy linear interpolation procedure is proposed. The presented results make it possible to perform correct probabilistic Bayesian estimation over fuzzy networks of any configuration.

引用

页码：206 / 218

页数：13

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