Computer Engineering and Applications ›› 2017, Vol. 53 ›› Issue (12): 50-52.DOI: 10.3778/j.issn.1002-8331.1601-0423
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SHI Xiaojing, ZHANG Xingfang
Online:
Published:
师肖静,张兴芳
Abstract: The thinking method of probabilistic logic, subjective probabilistic logic, uncertain logic and fuzzy logic are compared by an example. Own opinions is presented as follows:probabilistic logic based on date statistics is better than other logics. Uncertain logic is better than subjective probabilistic logic. When atom propositions with uncertainty are independent, uncertain logic and fuzzy logic is consistent. However, uncertain logic is better than fuzzy logic in dealing with relevant propositions with uncertainty. But, fuzzy logic is better than their logics in logic reasoning.
Key words: probabilistic logic, subjective probabilistic logic, uncertain logic, fuzzy logic
摘要: 通过一个实例分析比较了概率逻辑、主观概率逻辑、不确定逻辑和模糊逻辑的思想方法。提出了自己的观点:基于数据统计的概率逻辑是最科学的。不确定逻辑比主观概率逻辑更科学。当具有不确定性的原子命题具有独立性时,不确定逻辑和模糊逻辑的观点是一致的。而对于处理带有不确定性的相关性命题,不确定逻辑比模糊逻辑更科学。但是模糊逻辑在建立推理理论方面见长。
关键词: 概率逻辑, 主观概率逻辑, 不确定逻辑, 模糊逻辑
SHI Xiaojing, ZHANG Xingfang. Comparing of probabilistic logic, uncertain logic and fuzzy logic[J]. Computer Engineering and Applications, 2017, 53(12): 50-52.
师肖静,张兴芳. 概率逻辑、不确定逻辑和模糊逻辑之比较[J]. 计算机工程与应用, 2017, 53(12): 50-52.
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URL: http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1601-0423
http://cea.ceaj.org/EN/Y2017/V53/I12/50