What is it about?
We use attributes and its qualitative mapping operator to define a fuzzy information granular structure, which can express human thinking and cognitive characteristics. In the fuzzy Petri net, its reasoning process has more human thinking characteristics.
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Why is it important?
Our model enables the granular cognition structure to be well integrated with the fuzzy Petri net, and the fuzzy Petri net can better reflect the characteristics of human recognition and judgment.
Perspectives
I hope this article can make people feel that making fuzzy Petri nets express human judgment and reasoning can be easier. We do not need to rely too much on the experience of experts, so our system will have a wider range of applications. I hope that people can regard the model formed in this article as a cognitive system that already has some basic elements.
Ruqi Zhou
Guangdong University of Education
Read the Original
This page is a summary of: The Fuzzification of Attribute Information Granules and Its Formal Reasoning Model, CAAI Transactions on Intelligence Technology, March 2019, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/trit.2017.0014.
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