智能技术学报

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稿件标题: The Fuzzification of Attribute Information Granules and Its Formal Reasoning Model
稿件作者: Ruqi Zhou, Jiali Feng, Huiyou Chang, Yuepeng Zhou
关键字词: attributive abstraction and integration; qualitative mapping; attribute information granulation; fuzzy Petri net; knowledge reasoning
文章摘要: The model of attribute information granule based on the method of attribute theory and the problem of fuzzification of attribute information granules are discussed. The concept of information granule given by Lotfi A. Zadeh can be explained with an attribute and its qualitative mapping operator. Finally, this paper also discusses the reasoning of granulation form of attribute fuzzification information which is based on the fuzzy Petri net, with the good formalization structure of fuzzy Petri net, as well as its asynchronous, concurrency, uncertainty and other characteristics which is similar to those of human cognitive activities, enabling the fuzzy Petri net to express the basic characteristics of a cognitive system in the form of computing attribute granules. The results of this paper can provide a reference for the establishment of the granular logic model in the uncertain problems and a new interpretation framework for revealing the inherent laws of knowledge uncertainty’s change
收录刊物: 2017年2卷3期
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