Paper Title:
A Fuzzy Knowledge Matching Method Based on Variable Weight IDM
  Abstract

Fuzzy knowledge representation and processing is a very important topic in artificial intelligence research, the key of the fuzzy knowledge inference is the knowledge matching. Via our investigation on kinds of conventional methods in fuzzy knowledge matching, we propose a knowledge matching method based on variable weights IDM (Inscribed Diameter Matching). Through our comparative analysis, Variable weights IDM is able to overcome some drawbacks exist in the traditional methods. We also give a fusion model which can improve efficiency and accuracy of knowledge inference. The experimental results verify the practicability and availability of our method.

  Info
Periodical
Edited by
Honghua Tan
Pages
1205-1210
DOI
10.4028/www.scientific.net/AMM.29-32.1205
Citation
L. L. Zhu, D. Q. Tang, X. K. Qin, G. H. Dai, "A Fuzzy Knowledge Matching Method Based on Variable Weight IDM", Applied Mechanics and Materials, Vols. 29-32, pp. 1205-1210, 2010
Online since
August 2010
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