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.
| Original language | English |
|---|---|
| Title of host publication | 2010 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2010 |
| DOIs | |
| State | Published - 2010 |
| Event | 2010 Annual North American Fuzzy Information Processing Society Conference, NAFIPS'2010 - Toronto, ON, Canada Duration: Jul 12 2010 → Jul 14 2010 |
Other
| Other | 2010 Annual North American Fuzzy Information Processing Society Conference, NAFIPS'2010 |
|---|---|
| Country | Canada |
| City | Toronto, ON |
| Period | 7/12/10 → 7/14/10 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Mathematics(all)
Cite this
Knowledge presentation according to the linkage intensity. / Cheng, Shih-Chuan; Nair, Premchand S.
2010 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2010. 2010. 5548277.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Knowledge presentation according to the linkage intensity
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.
UR - http://www.scopus.com/inward/record.url?scp=77956602652&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77956602652&partnerID=8YFLogxK
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
ER -