Fuzzy temporal constraint logic: A valid resolution principle

Fuzzy Sets and Systems

Volumn 117, Issue 2, 2001, Pages 231-250

  Cardenas Viedma M A ^a   Marin Morales R ^a   Navarrete Sanchez I ^a  

^a UNIVERSITY OF MURCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; DECISION THEORY; LOGIC PROGRAMMING; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS;

FUZZY TEMPORAL CONSTRAINT; FUZZY TEMPORAL REASONING; POSSIBILITY THEORY;

FUZZY SETS;

EID: 0343826093     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(99)00099-8     Document Type: Article

References (23)

1. Allen J.F. Maintaining knowledge about temporal intervals. Comm. ACM. 26:1983;832-843.
2. Allen J.F. Towards a general theory of action and time. Artificial. Intelligence. 23(2):1984;123-154.
3. Barro S., Marín R., Mira J., Patón A.R. A model and a language for the fuzzy representation and handling of time. Fuzzy Sets and Systems. 61:1994;153-175.
4. S. Barro, R. Marín, R.P. Otero, R. Ruíz, J. Mira, On the handling of time in intelligent monitoring of CCU patients, Proceedings of the 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1992, pp. 871-873.
5. Dechter R., Meiri I., Pearl J. Temporal constraint networks. Artificial Intelligence. 49:1991;61-95.
6. Dubois D., Lang J., Prade H. Timed possibilistic logic. Fund. Inf. XV:1991;211-234.
7. D. Dubois, J. Lang, H. Prade, Possibilistic logic, in: D.M. Gabbay, C.J. Hogger, J.A. Robinson (Eds.), Handbook of Logic in Artificial Intelligence and Logic Programming, vol. 3, 1994, pp. 439-513.
8. Dubois D., Prade H. Necessity measures and the resolution principle. IEEE Trans. Systems Man Cybernet. 17:1987;474-478.
9. Dubois D., Prade H. Possibility Theory: An Approach to Computerized Processing of Uncertainty. 1988;Plenum Press, New York.
10. Dubois D., Prade H. Processing fuzzy temporal knowledge. IEEE Trans. Systems Man Cybernet. 19(4):1989;729-744.
11. Dubois D., Prade H. Resolution principles in possibilistic logic. Internat. J. Approx. Reason. 4:1990;1-21.
12. Enderton H.B. A Mathematical Introduction to Logic. 1972;Academic Press, New York.
13. L. Godo, L. Vila, A temporal reasoning system based on fuzzy temporal constraints, Actas del Cuarto Congreso Español sobre Tecnologías y Lógica Fuzzy, Blanes, 1994, pp. 43-48.
14. Gupta M.M., Qi J. Theory of T-norms and fuzzy inference methods. Fuzzy Sets and Systems. 40:1991;431-450.
15. Hrycej T. Temporal prolog, Proceedings of the European Conference on Artificial Intelligence'88. 1988;Munich, Germany.
16. Hrycej T. A temporal extension of prolog. J. Logic Programming. 15:1993;113-145.
17. Kaufmann A., Gupta M. Introduction to Fuzzy Arithmetic. 1985;Van Nostrand Reinhold, New York.
18. Marín R., Barro S., Bosch A., Mira J. Modeling time representation from a fuzzy perspective. Cybernet. Systems. 25(2):1994;207-215.
19. Marín R., Barro S., Palacios P., Ruíz R., Martín F. An approach to fuzzy temporal reasoning in medicine. Mathware and Soft Comput. 1(3):1994;265-276.
20. Marín R., Cárdenas M.A., Balsa M., Sánchez J.L. Obtaining solutions in fuzzy constraint networks. Internat. J. Approx. Reason. 16(3-4):1997;261-288.
21. J.M. Mendel, Fuzzy Logic Systems for Engineering: A Tutorial, IEEE, New York, 1995, pp. 345-377.
22. Tsang, Foundations of Constraint Satisfaction, Academic Press, New York, 1993.
23. Vila L. L. Godo, On fuzzy temporal constraint networks. Mathware and Soft Comput. 1(3):1994;315-334.