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A probabilistic model of computing with words

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2005 English Publisher:Elsevier BVJournal:Journal of Computer and System Sciences, volume 70, pages 176-200 (issn: 0022-0000, Copyright policy )
Authors: Daowen Qiu; Huaiqing Wang;

doi: 10.1016/j.jcss.2004.08.006

A probabilistic model of computing with words

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

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Keywords

Probabilistic context-free grammars, Quantum automata, Computer Networks and Communications, Applied Mathematics, Formal languages and automata, Strings of words, Models of computation (Turing machines, etc.), Theoretical Computer Science, Computational Theory and Mathematics, Quantum computation, Computing with words, Quantum models of computation, Probabilistic finite automata, Probabilistic Turing machines

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 24
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Average
hybrid