Compensatory Fuzzy Ontology
作者： Ariel Racet Valdés , Rafael A. Espin Andrade , Jorge Marx Gómez
DOI: 10.1007/978-3-642-10781-8_5
关键词:
摘要: Nowadays, to have relevant information is an important factor that contributes favorably the decision making process. The usage of ontologies improve effectiveness in obtaining has received special attention from researchers recent years. However, conceptual formalism supported by not enough represent ambiguous commonly founded many domains knowledge. An alternative incorporate concepts compensatory fuzzy logic order handle uncertainty data, which take advantage benefits it provides for formal representation uncertainty. We present this paper definition “Compensatory Fuzzy Ontologies” and attempt bring light need enhanced knowledge systems, using advantages approach, would increase field making.
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Jorge Friedman, Estrategias administrativas para la eficiencia universitaria Estado, gobierno, gestión pública: Revista Chilena de Administración Pública. ,vol. 2, pp. 15- ,(2003)
D. Dubois, H. Prade, A review of fuzzy set aggregation connectives Information Sciences. ,vol. 36, pp. 85- 121 ,(1985) , 10.1016/0020-0255(85)90027-1
Nandini Rajagopalan, Abdul M. A. Rasheed, Deepak K. Datta, Strategic Decision Processes: Critical Review and Future Directions Journal of Management. ,vol. 19, pp. 349- 384 ,(1993) , 10.1177/014920639301900207
Quan Thanh Tho, Siu Cheung Hui, Alvis Cheuk M Fong, Tru Hoang Cao, None, Automatic fuzzy ontology generation for semantic Web IEEE Transactions on Knowledge and Data Engineering. ,vol. 18, pp. 842- 856 ,(2006) , 10.1109/TKDE.2006.87
M. Wallace, Y. Avrithis, Fuzzy relational knowledge representation and context in the service of semantic information retrieval ieee international conference on fuzzy systems. ,vol. 3, pp. 1397- 1402 ,(2004) , 10.1109/FUZZY.2004.1375376
D. Fensel, F. van Harmelen, I. Horrocks, D.L. McGuinness, P.F. Patel-Schneider, OIL: an ontology infrastructure for the Semantic Web IEEE Intelligent Systems. ,vol. 16, pp. 38- 45 ,(2001) , 10.1109/5254.920598
Jun Zhai, Yang Li, Qinglian Wang, Miao Lv, Knowledge Sharing for Supply Chain Management Based on Fuzzy Ontology on the Semantic Web international symposium on information processing. pp. 429- 433 ,(2008) , 10.1109/ISIP.2008.24
Henri Prade, Didier DuBois, Fuzzy Sets and Systems: Theory and Applications ,(2011)
Eduardo Fernández, Maria Ines Lecich, Gustavo Mazcorro Téllez, Jorge Marx-Gómez, Making Espin Andrade, COMPENSATORY LOGIC: A FUZZY NORMATIVE MODEL FOR DECISION ,(2006)
Eduardo Fernández González, María Ines Lecich, Gustavo Mazcorro Téllez, Jorge Marx-Gómez, Rafael Espin Andrade, COMPENSATORY LOGIC: A FUZZY NORMATIVE MODEL FOR DECISION MAKING Investigación Operacional. ,vol. 27, pp. 184- 193 ,(2006)