Incidence Calculus on Lukasiewicz's Three-valued Logic

作者: Peter Milligan , Guilin Qi , Paul Sage

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摘要: Incidence calculus is a probabilistic logic which possesses both numerical and symbolic approaches. However, Liu in [5] pointed out that the original incidence had some drawbacks she established generalized theory (GICT) based on Lukasiewicz's three-valued to improve it. In GICT, an function defined relate each proposition φ axioms of set possible worlds has truth value true. But only represents those absolute true states propositions, so it can not deal with uncertain states. this paper, we use two functions i$_*$ i$^*$ sets worlds. For axiom φ, i$_*$(φ) be thought as true, while i$^*$(φ) or undeterminable. Since represent undeterminable state, our newly more efficient handle vague information than GICT.

参考文章(16)
Y. Y. Yao, On Generalizing Pawlak Approximation Operators Lecture Notes in Computer Science. pp. 298- 307 ,(1998) , 10.1007/3-540-69115-4_41
Alan Bundy, Incidence calculus: A mechanism for probabilistic reasoning Journal of Automated Reasoning. ,vol. 1, pp. 263- 283 ,(1985) , 10.1007/BF00244272
Y. Y. Yao, On Generalizing Rough Set Theory Lecture Notes in Computer Science. pp. 44- 51 ,(2003) , 10.1007/3-540-39205-X_6
Nicholas Rescher, Many Valued Logic ,(1969)
Y.Y. Yao, Xining Li, Comparison Of Rough-Set And Interval-Set Models For Uncertain Reasoning Fundamenta Informaticae. ,vol. 27, pp. 289- 298 ,(1996) , 10.3233/FI-1996-272314
Y.Y. Yao, Two views of the theory of rough sets in finite universes International Journal of Approximate Reasoning. ,vol. 15, pp. 291- 317 ,(1996) , 10.1016/S0888-613X(96)00071-0
S. K. M. Wong, L. S. Wang, Y Y. Yao, ON MODELING UNCERTAINTY WITH INTERVAL STRUCTURES computational intelligence. ,vol. 11, pp. 406- 426 ,(1995) , 10.1111/J.1467-8640.1995.TB00041.X
Y.Y. Yao, P.J. Lingras, Interpretations of belief functions in the theory of rough sets soft computing. ,vol. 104, pp. 81- 106 ,(1998) , 10.1016/S0020-0255(97)00076-5