Aggregating constraint satisfaction degrees expressed by possibilistic truth values

IEEE Transactions on Fuzzy Systems

Volumn 11, Issue 3, 2003, Pages 361-368

  De Tré, Guy ^a   De Baets, Bernard ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

(Weighted) constraints; Aggregation method; Constraint based systems; Satisfaction degree

Indexed keywords

CONSTRAINT THEORY; DATABASE SYSTEMS; KNOWLEDGE BASED SYSTEMS; SEMANTICS;

CONSTRAINT-BASED SYSTEMS;

FUZZY SETS;

EID: 0037863135     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2003.812695     Document Type: Article

References (19)

1. L. A. Zadeh, "Fuzzy logic = computing with words," IEEE Trans. Fuzzy Syst., vol. 2, pp. 103-111, Feb. 1996.
2. _, "Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic," Fuzzy Sets Syst., vol. 90, no. 2, pp. 111-127, 1997.
3. G. De Tré, R. De Caluwe, and B. Van der Cruyssen, "A generalized object-oriented database model," in Recent Issues on Fuzzy Databases, G. Bordogna and G. Pasi, Eds. Heidelberg, Germany: Physica-Verlag, 2000, Studies in Fuzziness and Soft Computing, pp. 155-182.
4. Constraint Databases, G. M. Kuper, L. Libkin, and J. Paredaens, Eds., Springer-Verlag, Berlin, Germany, 2000.
5. H. Prade, "From flexible queries to case-based evaluation," in ECSQARU-2001 Workshop Management Uncertainty Imprecision Multimedia Information Systems, Toulouse, France, 2001.
6. D. Dubois and H. Prade, "The three semantics of fuzzy sets," Fuzzy Sets Syst., vol. 90, no. 2, pp. 141-150, 1997.
7. H. Prade, "Possibility sets, fuzzy sets and their relation to Lukasiewicz logic," in Proc. 12th Int. Symp. Multiple-Valued Logic, 1982, pp. 223-227.
8. G. de Cooman, "Toward a possibilistic logic," in Fuzzy Set Theory and Advanced Mathematical Applications, D. Ruan, Ed. Norwell, MA: Kluwer, 1995, pp. 89-133.
9. L. A. Zadeh, "Fuzzy sets as a basis for a theory of possibility," Fuzzy Sets Syst., vol. 1, pp. 3-28, 1978.
10. D. Dubois and H. Prade, Possibility Theory. An Approach to Computerized Processing of Uncertainty. New York: Plenum, 1988.
11. F. Esteva, P. Garcia, and L. Godo, "Relating and extending semantical approaches to possibilistic reasoning," Int. J. Approx. Reason., vol. 10, pp. 311-344, 1994.
12. Fundamentals of Fuzzy Sets, D. Dubois and H. Prade, Eds., Kluwer, Norwell, MA, 2000,
13. N. Rescher, Many-Valued Logic. New York: Mc.Graw-Hill, 1969.
14. L. A. Zadeh, "Fuzzy sets," Inform. Control, vol. 1, no. 3, pp. 338-353, 1965.
15. _, "The concept of linguistic variable and its application to approximate reasoning (Parts I, II and III)," Inform. Sci., vol. 8, pp. 199-251, 1975.
16. G. De Tré, "Extended possibilistic truth values," Int. J. Intell. Syst., vol. 17, no. 4, pp. 427-446, 2002.
17. B. De Baets and R. Mesiar, "Residual implicators of continuous t-norms," in Proc. EUFIT'96 - Part 1, H.-J. Zimmermann Aachen, Ed., Germany, 1996, pp. 27-31.
18. B. De Baets, "Coimplicators, the forgotten connectives," Tatra Mt. Math. Publ., vol. 12, pp. 229-240, 1997.
19. V. Tahani, "A conceptual framework for fuzzy query processing: A step toward very intelligent database systems," in Info. Proc. Manage., vol. 13, 1977, pp. 289-303.