An Algorithm for Producing Fuzzy Negations via Conical Sections

In this paper we introduced a new class of strong negations, which were generated via conical sections. This paper focuses on the fact that simple mathematical and computational processes generate new strong fuzzy negations, through purely geometrical concepts such as the ellipse and the hyperbola....

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Main Authors: Georgios Souliotis, Basil Papadopoulos
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/12/5/89
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author Georgios Souliotis
Basil Papadopoulos
author_facet Georgios Souliotis
Basil Papadopoulos
author_sort Georgios Souliotis
collection DOAJ
description In this paper we introduced a new class of strong negations, which were generated via conical sections. This paper focuses on the fact that simple mathematical and computational processes generate new strong fuzzy negations, through purely geometrical concepts such as the ellipse and the hyperbola. Well-known negations like the classical negation, Sugeno negation, etc., were produced via the suggested conical sections. The strong negations were a structural element in the production of fuzzy implications. Thus, we have a machine for producing fuzzy implications, which can be useful in many areas, as in artificial intelligence, neural networks, etc. Strong Fuzzy Negations refers to the discrepancy between the degree of difficulty of the effort and the significance of its results. Innovative results may, therefore, derive for use in literature in the specific field of mathematics. These data are, moreover, generated in an effortless, concise, as well as self-evident manner.
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spelling doaj.art-dd2272508acb46959c4e37fbd13ca6fe2022-12-21T19:08:12ZengMDPI AGAlgorithms1999-48932019-04-011258910.3390/a12050089a12050089An Algorithm for Producing Fuzzy Negations via Conical SectionsGeorgios Souliotis0Basil Papadopoulos1Department of Civil Engineering Section of Mathematics and Informatics, Democritus University of Thrace, 67100 Kimeria, GreeceDepartment of Civil Engineering Section of Mathematics and Informatics, Democritus University of Thrace, 67100 Kimeria, GreeceIn this paper we introduced a new class of strong negations, which were generated via conical sections. This paper focuses on the fact that simple mathematical and computational processes generate new strong fuzzy negations, through purely geometrical concepts such as the ellipse and the hyperbola. Well-known negations like the classical negation, Sugeno negation, etc., were produced via the suggested conical sections. The strong negations were a structural element in the production of fuzzy implications. Thus, we have a machine for producing fuzzy implications, which can be useful in many areas, as in artificial intelligence, neural networks, etc. Strong Fuzzy Negations refers to the discrepancy between the degree of difficulty of the effort and the significance of its results. Innovative results may, therefore, derive for use in literature in the specific field of mathematics. These data are, moreover, generated in an effortless, concise, as well as self-evident manner.https://www.mdpi.com/1999-4893/12/5/89fuzzy implicationfuzzy negationdual negationconical sections
spellingShingle Georgios Souliotis
Basil Papadopoulos
An Algorithm for Producing Fuzzy Negations via Conical Sections
Algorithms
fuzzy implication
fuzzy negation
dual negation
conical sections
title An Algorithm for Producing Fuzzy Negations via Conical Sections
title_full An Algorithm for Producing Fuzzy Negations via Conical Sections
title_fullStr An Algorithm for Producing Fuzzy Negations via Conical Sections
title_full_unstemmed An Algorithm for Producing Fuzzy Negations via Conical Sections
title_short An Algorithm for Producing Fuzzy Negations via Conical Sections
title_sort algorithm for producing fuzzy negations via conical sections
topic fuzzy implication
fuzzy negation
dual negation
conical sections
url https://www.mdpi.com/1999-4893/12/5/89
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