What is the True Value of Fuzzy Reasoning in the Framework of the ‘Human Intelligence’ Linguistic Variable?

Computations are presented in the framework of ‘human intelligence’ linguistic variable. Computation concern fuzzy reasoning i.e. the true value of the implication 'IF…THEN'. Computation reveal high dependence of the true value of a rule on the meaning of fuzzy logic operator 'IF…THEN'. The effect of the incorporation of different kind of understanding of the fuzzy logic expression ‘Intelligent’ in the premises of fuzzy reasoning is presented. This framework makes it possible that in cardiology “severe” and “moderate” pathology may be both be “true “for a given patient.

Authors

Publication Details

Journal
International Journal of Physics Research and Applications
Published
2025-04-24
DOI
https://doi.org/10.29328/journal.ijpra.1001117
Citations
1
Primary Topic
Cognitive Computing and Networks
Type
article
Field-Weighted Citation Impact
2.48
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article

What is the True Value of Fuzzy Reasoning in the Framework of the ‘Human Intelligence’ Linguistic Variable?

Cojocaru Andreea
1 citations
International Journal of Physics Research and Applications
Cognitive Computing and Networks
2.48
article

What is the True Value of Fuzzy Reasoning in the Framework of the ‘Human Intelligence’ Linguistic Variable?

Cojocaru Andreea
article en
1 citations

Abstract

Computations are presented in the framework of ‘human intelligence’ linguistic variable. Computation concern fuzzy reasoning i.e. the true value of the implication 'IF…THEN'. Computation reveal high dependence of the true value of a rule on the meaning of fuzzy logic operator 'IF…THEN'. The effect of the incorporation of different kind of understanding of the fuzzy logic expression ‘Intelligent’ in the premises of fuzzy reasoning is presented. This framework makes it possible that in cardiology “severe” and “moderate” pathology may be both be “true “for a given patient.

International Journal of Physics Research and ApplicationsVol. 8(4)
Openalex Percentile: Top 11%
Cognitive Computing and Networks
2.48
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