Neural Logic Network-based Fuzzy Inference Network and its Search Strategy


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 3, No. 5, pp. 1138-1146, Sep. 1996
10.3745/KIPSTE.1996.3.5.1138,   PDF Download:

Abstract

Fussy logic ignores some informations in the reasoning process. Neural networks are powerful tools for the pattern processing. However, to model human knowledges, besides pattern processing capability, the logical reasoning capability is equally important. Another new neural network called neural network called neural logic network is able to do the logical reasoning, Because the fuzzy inference is a fuzzy logical reasoning, we construct fuzzy inference network based on the neural logic network, extending the existing rule-inferencing network. And the traditional propagation rule is modified. For the search strategies to find out the belief value of a conclusion in the fussy inference network, we conduct a simulation to evaluate the search cost for searching sequentially and searching by means of priorities.


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Cite this article
[IEEE Style]
L. H. Joo and K. J. Ho, "Neural Logic Network-based Fuzzy Inference Network and its Search Strategy," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 3, no. 5, pp. 1138-1146, 1996. DOI: 10.3745/KIPSTE.1996.3.5.1138.

[ACM Style]
Lee Heon Joo and Kim Jae Ho. 1996. Neural Logic Network-based Fuzzy Inference Network and its Search Strategy. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 3, 5, (1996), 1138-1146. DOI: 10.3745/KIPSTE.1996.3.5.1138.