Bijective Fuzzy Relations - A Graded Approach

Martina Daňková

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Bijective Fuzzy Relations - A Graded Approach

Topics: Mathematical Foundations: Fuzzy Set Theory and Fuzzy Logic

In Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 0IJCCI, 42-50, 2016 , Porto, Portugal

Author: Martina Daňková

Affiliation: University of Ostrava, Czech Republic

Keyword(s): Fuzzy Relations, Fuzzy Functions, Partial Fuzzy Functions, Bijective Mappings, Fuzzy Class Theory.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Systems ; Mathematical Foundations: Fuzzy Set Theory and Fuzzy Logic ; Soft Computing

Abstract: The bijectivity is one of the crucial mathematical notions. In this paper, we will present a fuzzy bijective mapping as a fuzzy relation that has several special properties. These properties come with degrees and so the bijectivity is also graded property. We will focuse on properties of this type of relations and we show graded versions of theorems on fuzzy bijections that are known from the classical Fuzzy Set Theory.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 52.14.8.34

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Daňková, M. (2016). Bijective Fuzzy Relations - A Graded Approach. In Proceedings of the 8th International Joint Conference on Computational Intelligence (IJCCI 2016) - FCTA; ISBN 978-989-758-201-1, SciTePress, pages 42-50. DOI: 10.5220/0006053300420050

@conference{fcta16,
author={Martina Daňková.},
title={Bijective Fuzzy Relations - A Graded Approach},
booktitle={Proceedings of the 8th International Joint Conference on Computational Intelligence (IJCCI 2016) - FCTA},
year={2016},
pages={42-50},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006053300420050},
isbn={978-989-758-201-1},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Computational Intelligence (IJCCI 2016) - FCTA
TI - Bijective Fuzzy Relations - A Graded Approach
SN - 978-989-758-201-1
AU - Daňková, M.
PY - 2016
SP - 42
EP - 50
DO - 10.5220/0006053300420050
PB - SciTePress