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Randomization of classical inference patterns and its application 被引量:26
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作者 WANG GuoJun1,2 & HUI XiaoJing1,31 Institute of Mathematics, Shaanxi Normal University, Xi’an 710062, China 2 Research Center for Science, Xi’an Jiaotong University, Xi’an 710049, China 3 College of Mathematics and Computer Science, Yan’an University, 716000, China 《Science in China(Series F)》 2007年第6期867-877,共11页
By means of randomization, the concept of D-randomized truth degree of formulas in two-valued propositional logic is introduced, and it is proved that the set of values of D-randomized truth degree of formulas has no ... By means of randomization, the concept of D-randomized truth degree of formulas in two-valued propositional logic is introduced, and it is proved that the set of values of D-randomized truth degree of formulas has no isolated point in [0,1]. The concepts of D-logic pseudo-metric and D-logic metric space are also introduced and it is proved that there is no isolated point in the space. The new built D-randomized concepts are extensions of the corresponding concepts in quantified logic. Moreover, it is proved that the basic logic connectives are continuous operators in D-logic metric space. Lastly, three different types of approximate reasoning patterns are proposed. 展开更多
关键词 d-randomized mapping d-randomized truth degree D-similarity D-logic metric space approximate reasoning
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