Knowledge presentation according to the linkage intensity

Shih-Chuan Cheng; Premchand S. Nair

doi:10.1109/NAFIPS.2010.5548277

Knowledge presentation according to the linkage intensity

Shih-Chuan Cheng, Premchand S. Nair

Department of Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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All Science Journal Classification (ASJC) codes

Computer Science(all)
Mathematics(all)

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Cheng, S-C., & Nair, P. S. (2010). Knowledge presentation according to the linkage intensity. In 2010 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2010 [5548277] https://doi.org/10.1109/NAFIPS.2010.5548277

@inproceedings{41b3ac7a294e4c679be638d2964c1cfb,

title = "Knowledge presentation according to the linkage intensity",

abstract = "The objective of this paper is to study methods of knowledge representation, such as frame approaches, production systems, semantic network, and symbolic logic, can be found in literatures. In this paper, we study the notions of similar relation of sets and linkage sets that can be used in not only the characterization of the relation, but also the knowledge representation system and pattern recognition.",

author = "Shih-Chuan Cheng and Nair, {Premchand S.}",

year = "2010",

doi = "10.1109/NAFIPS.2010.5548277",

language = "English",

isbn = "9781424478576",

booktitle = "2010 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2010",

note = "null ; Conference date: 12-07-2010 Through 14-07-2010",

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AU - Cheng, Shih-Chuan

AU - Nair, Premchand S.

PY - 2010

Y1 - 2010

N2 - The objective of this paper is to study methods of knowledge representation, such as frame approaches, production systems, semantic network, and symbolic logic, can be found in literatures. In this paper, we study the notions of similar relation of sets and linkage sets that can be used in not only the characterization of the relation, but also the knowledge representation system and pattern recognition.

AB - The objective of this paper is to study methods of knowledge representation, such as frame approaches, production systems, semantic network, and symbolic logic, can be found in literatures. In this paper, we study the notions of similar relation of sets and linkage sets that can be used in not only the characterization of the relation, but also the knowledge representation system and pattern recognition.

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U2 - 10.1109/NAFIPS.2010.5548277

DO - 10.1109/NAFIPS.2010.5548277

M3 - Conference contribution

AN - SCOPUS:77956602652

SN - 9781424478576

BT - 2010 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2010

Y2 - 12 July 2010 through 14 July 2010

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Access to Document

10.1109/NAFIPS.2010.5548277