Floppy logic - a younger sister of fuzzy logic

Title:

Floppy logic - a younger sister of fuzzy logic

Creator:

Provinský, P.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:df4b6338-3715-4316-b27b-be84527f09e9
uuid:df4b6338-3715-4316-b27b-be84527f09e9
doi:10.14311/NNW.2017.27.025

Subject:

floppy logic, floppy sets, fuzzy logic, fuzzy sets, probability, Kolmogorov’s axioms, and floppy probability space

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

This article introduces a floppy logic – a new method of work with fuzzy sets. This theory is a nice connection between the logic, the probability theory and the fuzzy sets. The floppy logic has several advantages compared to the fuzzy logic: All propositions, which are equivalent in the bivalent logic, are equivalent in the floppy logic too. Logical operations are modeled unambiguously, not by using many alternative t-norms and t-conorms. In floppy logic, we can use the whole apparatus of Kolmogorov’s probability theory. This theory allows to work consistently with systems that are described by fuzzy sets, probability distributions and accurate values simultaneously.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

479-497

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2017 Volume:27 | Number:5

Harvested from:

CDK

Metadata only:

false