Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/111189
DC Field | Value | |
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dc.title | Mathematical theory of truth-valued flow inference | |
dc.contributor.author | Wang, P.Z. | |
dc.contributor.author | Zhang, X.H. | |
dc.contributor.author | Lui, H.C. | |
dc.contributor.author | Zhang, H.M. | |
dc.contributor.author | Xu, W. | |
dc.date.accessioned | 2014-11-27T09:45:33Z | |
dc.date.available | 2014-11-27T09:45:33Z | |
dc.date.issued | 1995-06-09 | |
dc.identifier.citation | Wang, P.Z.,Zhang, X.H.,Lui, H.C.,Zhang, H.M.,Xu, W. (1995-06-09). Mathematical theory of truth-valued flow inference. Fuzzy Sets and Systems 72 (2) : 221-238. ScholarBank@NUS Repository. | |
dc.identifier.issn | 01650114 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/111189 | |
dc.description.abstract | Inference problems are one of the main research topics in the AI field. So far there have been proposed various inference systems some of which have been applied in various problems according to their feature. In particular, the concepts of inference channel and truth-valued flow inference (TVFI) (Wang, 1988) have been used in building fuzzy inference machines. In this paper, we discuss the basic concepts of TVFI channel lattice, background graph, the confidence degree of channels, and knowledge combination, etc. © 1995. | |
dc.source | Scopus | |
dc.subject | Fuzzy inference | |
dc.subject | Measure theory | |
dc.type | Article | |
dc.contributor.department | INSTITUTE OF SYSTEMS SCIENCE | |
dc.description.sourcetitle | Fuzzy Sets and Systems | |
dc.description.volume | 72 | |
dc.description.issue | 2 | |
dc.description.page | 221-238 | |
dc.description.coden | FSSYD | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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