Floppy Logic as a Generalization of Standard Boolean Logic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F20%3A00344283" target="_blank" >RIV/68407700:21260/20:00344283 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.14311/NNW.2020.30.014" target="_blank" >https://doi.org/10.14311/NNW.2020.30.014</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14311/NNW.2020.30.014" target="_blank" >10.14311/NNW.2020.30.014</a>
Alternative languages
Result language
angličtina
Original language name
Floppy Logic as a Generalization of Standard Boolean Logic
Original language description
The topic of this article is floppy logic, a new multi-valued logic. Floppy logic is related to fuzzy logic and the theory of probability, but it also has interesting links to probability logic and standard Boolean logic. It provides a consistent and simple theory that is easy to apply in practice. This article examines the isomorphism theorem, which plays an important role in floppy logic. The theorem is described and proved. The most important consequences of the isomorphism theorem are: 1. All statements which are equivalent in standard Boolean logic are also equivalent in floppy logic. 2. Floppy logic has all the properties of standard Boolean logic which can be formulated as an equivalence. These include, for example, distributivity, the contradiction law, the law of excluded middle, and others. The article mainly examines floppy implication. We show that floppy implication does not satisfy Adam’s Thesis and that floppy logic is not limited by Lewis’ triviality result. We also present a range of inference rules which are generalizations of modus ponens and modus tollens. These rules hold in floppy logic, and of course, also apply to standard Boolean logic. All these results lead us to the notion that floppy logic is a many-valued generalization of standard Boolean logic.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Neural Network World
ISSN
1210-0552
e-ISSN
—
Volume of the periodical
30
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
17
Pages from-to
193-209
UT code for WoS article
000572850100004
EID of the result in the Scopus database
2-s2.0-85092418146