Calculus of fuzzy hierarchical censored production rules (FHCPRs)

International Journal of Intelligent Systems

Volumn 11, Issue 1, 1996, Pages 1-25

  Neerja, ^a   Bharadwaj, K K ^b  

^a UNIVERSITY OF DELHI   (India)

^b JAWAHARLAL NEHRU UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; CONSTRAINT THEORY; DIFFERENTIATION (CALCULUS); FUZZY SETS; HIERARCHICAL SYSTEMS; KNOWLEDGE REPRESENTATION; PROBLEM SOLVING;

COMPUTATIONAL EFFICIENCY; FUZZY CENSORED PRODUCTION RULES; HIERARCHICAL CENSORED PRODUCTION RULES; VARIABLE PRECISION LOGIC;

KNOWLEDGE BASED SYSTEMS;

EID: 0029759038     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/(sici)1098-111x(199601)11:1<1::aid-int1>3.0.co;2-w     Document Type: Article

References (22)

1. R.S. Michalski and P.H. Winston, "Variable precision logic," Artif. Intelli., 29, (1986).
2. B.G. Buchanan and E.H. Shortliffe, Rule-Based Expert System, Addison-Wesley, Reading, MA, (1984).
3. K.K. Bharadwaj and N.K. Jain, "Hierarchical censored production rules (HCPRs) system," Data & Knowledge Engi., 8, 19-34 (1992).
4. K.K. Bharadwaj and Neerja, "Hierarchical censored production rules (HCPRs) system employing the Dempster-Shafer uncertainty calculus," Inform. Software Techn., 36(3), 155-164 (1994).
5. D. Driankov and H. Hellendoorn, "Fuzzy logic with unless-rules," IEEE International Conference of Fuzzy Systems, pp. 225-262, (1992).
6. Editorial, "Fuzzy models - What are they, and why?" IEEE Trans. Fuzzy Syst., 1(1), 1-5 (Feb. 1993).
7. Forsyth R. (ed.), "Expert Systems: Principles and Case Studies," Chapman and Hall (1984).
8. K.S. Leung and W. Lam, "Fuzzy concepts in expert systems," Computer J. 43-56 (Sept. 1988).
9. L. A. Zadeh, "The calculus of fuzzy if then rules," AI Expert, 7(3), 23-27 (March 1992).
10. L.A. Zadeh, "Fuzzy logic," Computer J., 83-92 (April 1988).
11. P.C. Fishburn, "The axioms and algebra of ambiguity," private communication, 1992.
12. P. Hájek, T. Havránek, and R. Jiroušek, Uncertain Information Processing in Expert Systems, CRC Press, Ann Arbor, 1992.
13. R.E. Neapolitan, Probabilistic Reasoning in Expert Systems - Theory and Algorithms, Wiley, New York, 1990.
14. D. Scott, "Measurement models and linear inequalities," J. Math. Psychol., 1, 233-247 (1964).
15. C.H. Kraft, J.W. Pratt, and A. Seidenberg, "Intuitive probability on finite sets," Ann. Math. Stat. 30, 408-419 (1959).
16. G. Shafer, A Mathematical Theory of Evidence, Princeton University Press, Princeton, NJ, 1976.
17. S.K.M. Wong, L.S. Wang, and Y.Y. Yao, "Interval structure: A framework for representing Uncertain information," Proceedings of the 8th Conference on Uncertainty in Artificial Intelligence, 1992, pp. 336-343.
18. S.K.M. Wong, P. Bollmann, Y.Y. Yao, and H.C. Burger, "Axiomatizations of qualitative belief structure," IEEE Trans. Syst. Man, Cyber., 12(4), 726-734 (1991).
19. S.K.M. Wong, Y.Y. Yao, and P. Lingras, "Comparative beliefs," Advances in the Dempster-Shafer Theory of Evidence, R. Yager, J. Kacprzyk, and M. Fedrizzi, Eds., Wiley, New York, 1994, pp. 115-132.
20. A. Bundy, "Incidence calculus: A mechanism for probabilistic reasoning," J. Automated Reasoning, 1, 263-283 (1985).
21. S.K.M. Wong and Z. W. Wang, "Qualitative measures of ambiguity," Proceedings of the 9th Conference on Uncertainty in Artificial Intelligence, 1993, pp. 443-450.
22. P.C. Fishburn, Utility Theory for Decision Making, Wiley, New York, 1970.