Fuzzy logic from the viewpoint of machine intelligence

Authors:
J. Ma;S. Chen;Y. Xu
Affiliations:
Department of Mathematics, School of Science, Southwest Jiaotong University, Chengdu 610031, China;Department of Mathematics, School of Science, Southwest Jiaotong University, Chengdu 610031, China;Department of Mathematics, School of Science, Southwest Jiaotong University, Chengdu 610031, China
Venue:
Fuzzy Sets and Systems
Year:
2006

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Abstract

In this paper, we present our opinions on fuzzy logic from the viewpoint of machine intelligence. Firstly, we analyze characteristics of fuzzy logic that are adapted to the study of machine intelligence. Secondly, we present our opinions on machine intelligence, i.e., (1) machine intelligence requires uncertain reasoning with linguistic expressions, (2) study uncertain reasoning based on logic is one of scientific methodologies, (3) machine intelligence demands uncertain reasoning with linguistic informations under the guidance of logic, (4) machine intelligence also requires automated reasoning with linguistic information. Finally, we introduce our work on uncertain and automated reasoning in the framework of lattice-valued logic based on lattice implication algebra, and discuss some further goals.