Probabilistic inference on three-valued logic

Authors:
Guilin Qi
Affiliations:
Mathematics Department, Yichun College, Yichun, Jiangxi Province
Venue:
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Year:
2003

Citing 2
Cited 2

Probabilistic logic

Artificial Intelligence
Comparison of rough-set and interval-set models for uncertain reasoning

Fundamenta Informaticae - Special issue: rough sets

Incidence Calculus on Łukasiewicz's Three-valued Logic

Fundamenta Informaticae
Incidence Calculus on Łukasiewicz's Three-valued Logic

Fundamenta Informaticae

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we extend Nilsson's probabilistic logic [1] to allow that each sentence S has three sets of possible worlds. We adopt the ideas of consistency and possible worlds introduced by Nilsson in [1], but propose a new method called linear equation method to deal with the problems of probabilistic inference, the results of our method is consistent with those of Yao's interval-set model method.