loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Miljan Vučetić and Aleksej Makarov

Affiliation: Vlatacom Institute of High Technologies, 5 Milutina Milankovića Blvd, Belgrade and Serbia

Keyword(s): Interval Type-2 Fuzzy Sets, Conformance Measure, Record Ranking, Interval-valued Aggregation.

Abstract: In this paper, we describe a method for evaluating suitable records from heterogeneous datasets based on interval type-2 fuzzy sets (IT2FSs). Retrieving records from a dataset including numerical, categorical, binary and fuzzy data in accordance with diverse user’s preferences is still a challenging task. The main challenge is how to deal with heterogeneity present when data in attribute values and user’s preferences are different by nature, e.g. when users explain their interests in linguistic term(s), whereas the attribute value is stored as a number and vice versa. Furthermore, a user may have different interests among desired preferences expressed with different data types. Using fuzzy theory can effectively help in handling heterogeneity in building robust query engines. This efficacy is mitigated when two or more values belong to an ordinary (type-1) fuzzy set with the same membership degree. We propose a solution based on IT2FSs, which are capable to better represent uncertain ty in data and preferences. It efficiently improves the ranking of suitable records retrieved from datasets. The connection with aggregation of interval-valued data is also discussed. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.223.0.53

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:
Vučetić, M. and Makarov, A. (2019). A Novel Method for Evaluating Records from a Dataset using Interval Type-2 Fuzzy Sets. 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 309-316. DOI: 10.5220/0008068403090316

@conference{fcta19,
author={Miljan Vučetić. and Aleksej Makarov.},
title={A Novel Method for Evaluating Records from a Dataset using Interval Type-2 Fuzzy Sets},
booktitle={Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - FCTA},
year={2019},
pages={309-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008068403090316},
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 - A Novel Method for Evaluating Records from a Dataset using Interval Type-2 Fuzzy Sets
SN - 978-989-758-384-1
IS - 2184-3236
AU - Vučetić, M.
AU - Makarov, A.
PY - 2019
SP - 309
EP - 316
DO - 10.5220/0008068403090316
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic