A Fuzzy Knowledge Matching Method Based on Variable Weight IDM-Reference-Cited by-同舟云学术

A Fuzzy Knowledge Matching Method Based on Variable Weight IDM

Published:2010-08 Issue: Volume:29-32 Page:1205-1210
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Zhu Lin Li¹,Tang De Quan²,Qin Xiao Kang³,Dai Guo Hong¹

Affiliation:

1. Jiangsu Teachers University of Technology

2. Hunan Public Security College

3. Suzhou College of Information Technology

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.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.29-32.1205.pdf

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