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Volumn 27, Issue 7, 2004, Pages 865-873

G-logic and its resolution reasoning

Author keywords

G computing; G logic; G resolution; Information granules

Indexed keywords

ARTIFICIAL INTELLIGENCE; KNOWLEDGE BASED SYSTEMS; PROBLEM SOLVING; ROUGH SET THEORY;

EID: 4544274317     PISSN: 02544164     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (31)

References (21)
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  • 5
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  • 7
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    • Graded modalities in rough logic
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    • Nakamura A.. Graded modalities in rough logic. In: Polkowski L., Skowron A. ed. Rough Sets Knowledge Discovery, Heidelberg: Physica-Verlag, 1998, 192-208
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  • 8
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    • Granularity
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    • Chinese source
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  • 12
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    • Liu Q.. The OI-resolution of operator rough logic. In: Polkowski L., Skowron A. eds. Lecture Notes in Artificial Intelligence 1424, Berlin: Springer-Verlag, 1998, 432-435
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    • Liu, Q.1
  • 13
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    • The resolution for rough prepositional logic with lower (L) and upper(H) approximate operators
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    • Liu Q.. The resolution for rough prepositional logic with lower (L) and upper(H) approximate operators. Lecture Notes in Artificial Intelligence 1711, Berlin: Springer-Verlag, 1999, 11: 352-356
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  • 15
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    • Neighborhood logic and its data reasoning on neighborhood-valued information table
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    • Liu Q.. Neighborhood logic and its data reasoning on neighborhood-valued information table. Chinese Journal of Computers, 2001, 24(4): 476-480(in Chinese)
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    • Rough logic and its applications in data mining
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    • Liu Q., Liu S. H., Zheng F.. Rough logic and its applications in data mining. Journal of Software, 2001, 12(3): 415-419(in Chinese)
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  • 19
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.