Dynamic-link rule base in fuzzy inference system

doi:10.1109/ICSMC.1999.815555

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Title:	Dynamic-link rule base in fuzzy inference system
Authors:	Lin, Sinn-cheng
Contributors:	淡江大學資訊與圖書館學系
Keywords:	fuzzy logic;fuzzy set theory;inference mechanisms;knowledge based systems
Date:	1999-10
Issue Date:	2010-01-27 16:59:05 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Abstract:	A dynamic-link rule base (DLRB) is introduced to the fuzzy inference systems for the purpose of speeding up and simplifying the fuzzy reasoning. This paper proposes a new reasoning mechanism by adding a dynamic-link rule base between the original rule base and the inference engine. The fuzzy inference system with a dynamic-link rule base is called a dynamic-link-rule-base-fuzzy-inference-system (DLRB-FIS). In the DLRB-FIS, only the fired rules, whose firing strengths are not equal to zero, are included for inference. The mathematical foundations, theorems and architecture of the DLRB-FIS are presented. A numeric example is also given for verifying the practicability of DLRB-FIS. The DLRB-FIS proposed has a general-purpose architecture. Therefore, it can be applied to many kinds of fields, such as fuzzy control, fuzzy image processing, fuzzy decision making, and fuzzy pattern recognition, etc.
Relation:	Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on vol.5, pp.244-249
DOI:	10.1109/ICSMC.1999.815555
Appears in Collections:	[Graduate Institute & Department of Information and Library Sciences] Proceeding

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