NDLI: The Mixed Hierarchical Fuzzy Evaluation System Based on Dynamic Neural Network

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The Mixed Hierarchical Fuzzy Evaluation System Based on Dynamic Neural Network

Content Provider	IEEE Xplore Digital Library
Author	Xiaoping Qiu Yang Xu Haiming Li
Copyright Year	2007
Description	Author affiliation: Southwest Jiaotong Univ., Chengdu (Xiaoping Qiu)
Abstract	The mixed hierarchical fuzzy evaluation system (MHFES) is discussed in this paper. First, the design of neural units corresponding to the five common operations are proposed. Second, the definition of MHFES is discussed, including the definitions of the evaluation items and the relationships among them, based on the five operations above. Third, the main algorithms of the MHFES are introduced to compute the values of those evaluation items and the result of the MHFES. Subsequently, the experiments are carried out and the results show that the MHFES is effective.
Starting Page	431
Ending Page	435
File Size	166036
Page Count	5
File Format	PDF
ISBN	9780769528755
DOI	10.1109/ICNC.2007.729
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Fuzzy control Neural networks Fuzzy neural networks Educational institutions Computer networks Computer science education Fuzzy systems Logistics Intelligent control
Content Type	Text
Resource Type	Article

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