A Novel Approach to Weighted Fuzzy Rules for Positive Samples

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

A Novel Approach to Weighted Fuzzy Rules for Positive Samples

Topics: Approximate Reasoning; Fuzzy Approaches to Information Retrieval; Fuzzy Control; Fuzzy Information Processing; Fuzzy Methods in Data Analysis

In Proceedings of the 14th International Joint Conference on Computational Intelligence - Volume 1: FCTA, 209-216, 2022 , Valletta, Malta

Author: Martina Daňková

Affiliation: University of Ostrava, CE IT4Innovations, 30. dubna 22, 701 03 Ostrava 1,Czech Republic

Keyword(s): Fuzzy Relation, Relational Model, Fuzzy Approximation, Implicative Model, Fuzzy IF–THEN Rules.

Abstract: In this contribution, we propose a novel approach to automated fuzzy rule base generation based on underlying observational data. The core of this method lies in adding information to a particular fuzzy rule in the form of attached weight given as a value extracted from a relational data model. In particular, we blend two approaches to receive particular models that overcome their specific drawbacks.

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 3.144.103.10

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. (2022). A Novel Approach to Weighted Fuzzy Rules for Positive Samples. In Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - FCTA; ISBN 978-989-758-611-8; ISSN 2184-3236, SciTePress, pages 209-216. DOI: 10.5220/0011548800003332

@conference{fcta22,
author={Martina Daňková.},
title={A Novel Approach to Weighted Fuzzy Rules for Positive Samples},
booktitle={Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - FCTA},
year={2022},
pages={209-216},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011548800003332},
isbn={978-989-758-611-8},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - FCTA
TI - A Novel Approach to Weighted Fuzzy Rules for Positive Samples
SN - 978-989-758-611-8
IS - 2184-3236
AU - Daňková, M.
PY - 2022
SP - 209
EP - 216
DO - 10.5220/0011548800003332
PB - SciTePress