Fuzzy–rough Fuzzification in General FL Classifiers

Janusz T. Starczewski; Robert K. Nowicki; Katarzyna Nieszporek

Research.Publish.Connect.

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

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

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

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

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

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

Name:
Country:
Subject:

Advanced Search Affiliations Search

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

Proceedings

Proceedings Search

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

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

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

Fuzzy–rough Fuzzification in General FL Classifiers

Topics: Adaptive, Hierarchical, Hybrid, and Type 2 Fuzzy Systems; Fuzzy Methods in Data Analysis, Clustering, Classification and Pattern Recognition

In Proceedings of the 11th International Joint Conference on Computational Intelligence - Volume 1: FCTA, 335-342, 2019 , Vienna, Austria

Authors: Janusz T. Starczewski ; Robert K. Nowicki and Katarzyna Nieszporek

Affiliation: Institute of Computational Intelligence, Czestochowa University of Technology, Czestochowa and Poland

Keyword(s): General Type-2 Fuzzy Classifier, Fuzzy–rough Fuzzification, Triangular Fuzzification.

Abstract: In this paper, a three-dimensional version of fuzzy-rough fuzzification is examined for classification tasks. Similar approach based on interval fuzzy-rough fuzzification has been demonstrated to classify with three decision labels of confidence, one of which were uncertain. The method proposed here relies on the use of fuzzification of inputs with a triangular membership function describing the nature of imprecision in data. As a result, we implement in fuzzy classifiers three dimensional membership functions using the calculus of general type-2 fuzzy sets. The approach is justified when more confidence labels are expected from the decision system, especially when the classifier is embedded in a recurrent hierarchical decision system working on easily available economic, extended, and advanced expensive real data.

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 18.191.195.110

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:

Starczewski, J.; Nowicki, R. and Nieszporek, K. (2019). Fuzzy–rough Fuzzification in General FL Classifiers. In Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - FCTA; ISBN 978-989-758-384-1; ISSN 2184-3236, SciTePress, pages 335-342. DOI: 10.5220/0008168103350342

@conference{fcta19,
author={Janusz T. Starczewski. and Robert K. Nowicki. and Katarzyna Nieszporek.},
title={Fuzzy–rough Fuzzification in General FL Classifiers},
booktitle={Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - FCTA},
year={2019},
pages={335-342},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008168103350342},
isbn={978-989-758-384-1},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - FCTA
TI - Fuzzy–rough Fuzzification in General FL Classifiers
SN - 978-989-758-384-1
IS - 2184-3236
AU - Starczewski, J.
AU - Nowicki, R.
AU - Nieszporek, K.
PY - 2019
SP - 335
EP - 342
DO - 10.5220/0008168103350342
PB - SciTePress