Approximate reasoning with time

Fuzzy Sets and Systems

Volumn 107, Issue 1, 1999, Pages 59-79

  Raha, Swapan ^a   Ray, Kumar Sankar ^b  

^a VISVA BHARATI UNIVERSITY   (India)

^b INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Approximate reasoning; Similarity index; Temporal reasoning

Indexed keywords

EID: 0002503475     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(97)00335-7     Document Type: Article

References (27)

1. [1] J.F. Allen, Towards a general theory of action and time, Artificial Intelligence 23 (1984) 123-154.
2. [2] F. Crusca, Special issue on tense and aspect, Comput. Linguistics 14 (2) (1988).
3. [3] D. Dubois, H. Prade, Processing fuzzy temporal knowledge, IEEE Trans. SMC 19 (1989) 729-744.
4. [4] D. Dubois, H. Prade, Fuzzy sets in approximate reasoning, Part I: Inference with possibility distribution, Fuzzy Sets and Systems 40 (1) (1991) 143-202.
5. [5] S. Dutta, An event-based fuzzy temporal logic, in: Proc. 18th IEEE Int. Symp. on Multiple-Valued Logic, Palma de Mallorca, Spain, 1988, pp. 64-71.
6. [6] S. Dutta, A temporal logic for uncertain events and an outline of a possible implementation in an extension of PROLOG, in: Proc. 4th AAAI Workshop on Uncertainty in Artificial Intelligence, Univ. of Minnesota, 1988, pp. 90-97.
7. [7] T.C. Fail, Evidential reasoning with temporal aspects, in: Proc. 5th AAAI Nat. Conf. Artificial Intelligence, Philadelphia, PA, 1986, pp. 891-895.
8. [8] N. Hornstein, Towards a theory of tense, Linguistic Inquiry 8 (1977) 521-557.
9. [9] K.M. Kahn, Mechanization of temporal knowledge, Artificial Intell. 9 (1977) 87-108.
10. [10] T. Van Le, A fuzzy temporal logic scheme for fuzzy dynamic systems, in: Proc. ICCN'95, ICEC'95, ANZIIS'95, Perth, Australia, December 1995, pp. 152-157.
11. [11] H. Maeda, S. Asaoka, S. Murakami, Dynamical fuzzy reasoning and its application to system modeling, Fuzzy Sets and Systems 80 (2) (1996) 101-109.
12. [12] D. Mcdermott, A temporal logic for reasoning about processes and plans, Cognitive Sci. 6 (1982) 101-155.
13. [13] M. Nowakowska, A new theory of time: generation of time from fuzzy temporal relations, BUSEFAL, 1981, no. 6, 1981, 87-84.
14. [14] D.Q. Qian, Representation and use of imprecise temporal knowledge in dynamic systems, Fuzzy Sets and Systems 50 (1) (1992) 59-77.
15. [15] S. Raha, K.S. Ray, Analogy between approximate reasoning and the method of interpolation, Fuzzy Sets and Systems 51 (3) (1992) 259-266.
16. [16] S. Raha, K.S. Ray, Approximate reasoning based on generalized disjunctive syllogism, Fuzzy Sets and Systems 61 (2) (1994) 143-151.
17. [17] S. Raha, K.S. Ray, On extended fuzzy reasoning, Fuzzy Sets and Systems 62 (1) (1994) 121-125.
18. [18] S. Raha, K.S. Ray, Reasoning with vague default, Fuzzy Sets and Systems, in press.
19. [19] S. Raha, K.S. Ray, Reasoning with vague truth, Fuzzy Sets and Systems, in press.
20. [20] F.C.C. Tsang, J.W.T. Lee, D.S. Yeung, Similarity based fuzzy reasoning methods for fuzzy production rules, in: Proc. IFSA, World Congress, Sao Paolo, Brazil, 1995, pp. 157-160.
21. [21] I.B. Turksen, Z. Zhong, An approximate analogical reasoning approach based on similarity measures, IEEE Trans. SMC 18 (1988) 1049-1056.
22. [22] S. Vere, Planning in time: windows and durations for activities and goals, IEEE Pattern Anal. Mach. Intell. 3 (1983) 246-267.
23. [23] J. Virant, N. Zimic, Attention to time in fuzzy logic, Fuzzy Sets and Systems 82 (1) (1996) 39-49.
24. [24] M. Vitek, Fuzzy information and fuzzy time, in: Proc. IFAC Symp. Fuzzy Information, Knowledge Representation and Decision Analysis, Marseille, France, 1983, pp. 159-162.
25. [25] L.A. Zadeh, Fuzzy sets, Inform, and Control 8 (1965) 338-353.
26. [26] L.A. Zadeh, A theory of approximate reasoning, in: J.E. Hayes, D. Mitchie, L.I. Mikulich (Eds.), Machine Intelligence, vol. 9, Wiley, New York, 1979, pp. 149-194.
27. [27] R. Zwick, E. Carlstein, D.V. Budescu, Measures of similarity among fuzzy concepts: A comparative analysis, Internat. J. Approx. Reasoning 1 (1987) 221-242.