A constraint-based fuzzy inference system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 541 LNAI, Issue , 1991, Pages 45-59

  Lano, Kevin ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Fuzzy logic; Inexact reasoning

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORMAL LANGUAGES; FUZZY LOGIC;

CONSTRAINT-BASED; FORMAL DEFINITION; FUZZY INFERENCE SYSTEMS; INEXACT REASONING; INFERENCE SYSTEMS; MAXIMAL ENTROPY;

FUZZY INFERENCE;

EID: 0005466821     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-54535-2_24     Document Type: Conference Paper

References (20)

1. J.F. Baldwin, B. Pilsworth, T. Martin — The FRIL manual, Equipu-Air Ltd, Bristol.
2. J.F. Baldwin, B. Pilsworth — Evidential Support Logic Programming, Fuzzy Sets and Systems Vol 24, 1987, pp 1–26.
3. J.F. Baldwin — A Fuzzy Relational Inference Language, Fuzzy Sets and Systems Vol 14, 1984, pp 155–174.
4. A. Colmerauer — An Introduction to Prolog III, Proceedings of the ESPRIT 90 Symposium on Computational Logic, Brussels, DG XIII Commission of the European Communities.
5. K.S. Leung, W.S. Felix Wong, W. Lam — Applications of a novel fuzzy expert system shell, Expert Systems Vol 6 No.1, Feb 89.
6. V. Novak, W. Pedrycz — Fuzzy set and t-norms in the light of Fuzzy Logic, in Machine Learning and Uncertain Reasoning, B.Gains, J.Boose (Eds), Academic Press 1990.
7. J.B. Paris, A. Vencovska — A Note on the Inevitability of Maximum Entropy, Mathematics Department, Manchester University 1988.
8. J.B. Paris, A. Vencovska — On the Applicability of Maximum Entropy to Inexact Reasoning, International Journal of Approximate Reasoning Vol 3, No. 1.
9. J.B. Paris, A. Vencovska — A Model of Belief, Manchester University, Department of Mathematics. (1990).
10. R.R. Yeager — On a general class of fuzzy connectives, Fuzzy Sets and Systems Vol 4 (1980), 3, pp 235–242.
11. R. Shostak — The Sup-Inf method for Proving Presburger Formulae, JACM Vol. 24, No. 4, October 1977, pp 529–543.
12. S. Gottwald — Fuzzy Propositional Logics, Fuzzy Sets and Systems Vol 3. No. 2, pp 181–192.
13. K.C. Lano — Mathematical Frameworks for Vagueness and Approximate Reasoning, PhD thesis, Bristol University, 1988. Summary in Fuzzy Sets and Systems, 35(2), 1990.
14. A. Pultr — Fuzziness and Fuzzy Equality, Aspects Of Vagueness, Ed H.Skala, S.Termini, E.Trillas, (D.Reidel 1984) pp 119–135.
15. J. Goguen — The Logic of Inexact Concepts, Synthese 19 (1969) pp 325–373.
16. D. Long, R. Garigliano — A Formal Model through Homogeneity Theory of Adaptive Reasoning, PRG Technical Monograph 71, Oxford University Programming Research Group.
17. L. Zadeh — Fuzzy Sets, Information and Control No. 8 (1965) pp 338–353.
18. K.S. Leung, W. Lam — A Fuzzy Expert System Shell using both Exact and Inexact Reasoning, Journal of Automated Reasoning Vol 5, No. 2, June 1989.
19. Z. Cao, Z. Handel — Applicability of Some Fuzzy Implication Operators, Fuzzy Sets and Systems Vol. 31 No. 2, June 1989, pp 151–186.
20. H. Gardner — The Minds New Science, Basic Books, 1987.