Uncertain Reasoning and Decision Making

In this paper we discuss uncertain reasoning and decision making. Our proposal is based on the knowledge we have and entirely formalized within the so called classical two valued logic, so it has a solid foundation. Basic notions of various items are defined formally; formulas of supporting degree for uncertain reasoning and supporting degree with safety for decision making are introduced. Evaluation of "weighted facts", which represents the different importance of facts, is clearly presented within our proposal without anything else. The relation between uncertain reasoning and decision making is discussed in detail. Examples in the paper are comprehensively exhibited, which shows that our proposal is reasonable and computer-operative.

[1]  L. N. Kanal,et al.  Uncertainty in Artificial Intelligence 5 , 1990 .

[2]  Donald E. Brown,et al.  Intelligent decision support systems , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

[3]  Andrew P. Sage,et al.  Uncertainty in Artificial Intelligence , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[4]  George J. Klir,et al.  On Measuring Uncertainty and Uncertainty-Based Information: Recent Developments , 2001, Annals of Mathematics and Artificial Intelligence.

[5]  Jon Doyle,et al.  Belief Revision: Reason maintenance and belief revision: Foundations versus coherence theories , 1992 .