Food Index: a Multidimensional Index Structure for Similarity-Based Fuzzy Object Oriented Database Models

dc.authorid Koyuncu, Murat/0000-0003-1958-5945
dc.authorid Koyuncu, Murat/0000-0003-1958-5945
dc.authorid YAZICI, Adnan/0000-0001-9404-9494
dc.authorscopusid 7005892047
dc.authorscopusid 7005834473
dc.authorscopusid 7004305370
dc.authorwosid Koyuncu, Murat/C-9407-2017
dc.authorwosid Koyuncu, Murat/ABI-5498-2020
dc.contributor.author Yazici, Adnan
dc.contributor.author Ince, Cagri
dc.contributor.author Koyuncu, Murat
dc.contributor.other Information Systems Engineering
dc.date.accessioned 2024-07-05T14:34:19Z
dc.date.available 2024-07-05T14:34:19Z
dc.date.issued 2008
dc.department Atılım University en_US
dc.department-temp [Yazici, Adnan; Ince, Cagri] Middle E Tech Univ, Dept Comp Engn, TR-06531 Ankara, Turkey; [Koyuncu, Murat] Atilim Univ, Dept Comp Engn, TR-06836 Ankara, Turkey en_US
dc.description Koyuncu, Murat/0000-0003-1958-5945; Koyuncu, Murat/0000-0003-1958-5945; YAZICI, Adnan/0000-0001-9404-9494 en_US
dc.description.abstract A fuzzy object-oriented data model is a fuzzy logic-based extension to an object-oriented database model that permits uncertain data to be explicitly represented. The fuzzy object-oriented database (FOOD) model is one of the proposed models in the literature to handle uncertainty in object-oriented databases. Several kinds of fuzziness are dealt with in the FOOD model, including fuzziness at attribute level and between object and class and between class and superclass relations. The traditional index structures do not allow efficient access to both crisp and fuzzy objects for fuzzy object-oriented databases since they are not efficient enough in processing both crisp and fuzzy queries. In this study, we propose a new index structure, namely a FOOD index (FI), to deal with different kinds of fuzziness in fuzzy object-oriented databases and to support multidimensional indexing. In this paper, we describe this proposed index structure and show how it supports various types of flexible queries, and evaluate its performance for exact, range, and fuzzy queries. en_US
dc.description.sponsorship Scientific and Technological Research Council of Turkey (TUBITAK) [EEEAG-106E012] en_US
dc.description.sponsorship This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under Grant EEEAG-106E012. en_US
dc.identifier.citationcount 10
dc.identifier.doi 10.1109/TFUZZ.2008.917304
dc.identifier.endpage 957 en_US
dc.identifier.issn 1063-6706
dc.identifier.issue 4 en_US
dc.identifier.scopus 2-s2.0-50549084537
dc.identifier.scopusquality Q1
dc.identifier.startpage 942 en_US
dc.identifier.uri https://doi.org/10.1109/TFUZZ.2008.917304
dc.identifier.uri https://hdl.handle.net/20.500.14411/1044
dc.identifier.volume 16 en_US
dc.identifier.wos WOS:000263375000011
dc.identifier.wosquality Q1
dc.institutionauthor Koyuncu, Murat
dc.language.iso en en_US
dc.publisher Ieee-inst Electrical Electronics Engineers inc en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 11
dc.subject Flexible querying en_US
dc.subject fuzzy indexing en_US
dc.subject fuzzy set theory en_US
dc.subject object-oriented databases (OODBs) en_US
dc.subject uncertainty en_US
dc.title Food Index: a Multidimensional Index Structure for Similarity-Based Fuzzy Object Oriented Database Models en_US
dc.type Article en_US
dc.wos.citedbyCount 9
dspace.entity.type Publication
relation.isAuthorOfPublication 948643aa-7723-4c65-8da8-fcc884405cd1
relation.isAuthorOfPublication.latestForDiscovery 948643aa-7723-4c65-8da8-fcc884405cd1
relation.isOrgUnitOfPublication cf0fb36c-0500-438e-b4cc-ad1d4ef25579
relation.isOrgUnitOfPublication.latestForDiscovery cf0fb36c-0500-438e-b4cc-ad1d4ef25579

Files

Collections