Fuzzy logic from the viewpoint of machine intelligence

Publisher:
Elsevier
Publication Type:
Journal Article
Citation:
Fuzzy Sets and Systems, 2006, 157 (5), pp. 628 - 634
Issue Date:
2006-01
Filename Description Size
Thumbnail2006007144.pdf180.17 kB
Adobe PDF
Full metadata record
n 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.
Please use this identifier to cite or link to this item: