NDLI: Granular logic and its formal representation based on variable fuzzy criterion

Content Provider	IEEE Xplore Digital Library
Author	Ru Qi Zhou Chun He Lu
Copyright Year	2012
Description	Author affiliation: Department of Computer Science, University of Montreal, Canada (Chun He Lu) \|\| Department of Computer Science, Guangdong University of Education, Guangzhou, China (Ru Qi Zhou)
Abstract	This paper is intended to discus the construction of granular logic system under variable fuzzy criterion condition and the formal representation of the reasoning of granular logic system so as to study the application of granular computing from another perspective and to facilitate the application of granular computing in artificial intelligence with uncertainty. The change law of fuzzy criterion variability can be described by the transformation of qualitative and quantitative attributes in attribute theory. On the basis that the concept and logic computing formula of attribute granule are given, a granular logic system is initially established and the logic reasoning is described using the formalization method of Petri Net, showing that the reasoning is effective and operations of thinking like cognition, recognition, judging and reasoning can be well expressed.
Starting Page	667
Ending Page	672
File Size	287370
Page Count	6
File Format	PDF
ISBN	9781467323109
e-ISBN	9781467323116
DOI	10.1109/GrC.2012.6468648
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Variable Fuzzy Criterion Benchmark testing Granular Logic Qualitative Criterion Transformation Indexes Fuzzy Cognitive Map Petri Net
Content Type	Text
Resource Type	Article

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