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Handling bipolarity in elementary queries to possibilistic databases

Guy De Tré UGent, Slawomir Zadrozny and Antoon Bronselaer UGent (2010) IEEE TRANSACTIONS ON FUZZY SYSTEMS. 18(3). p.599-612
abstract
Making data-querying and representation easier and more human consistent is an important research topic. In this context, fuzzy logic with its capability to model linguistic expressions provides an interesting framework, which has been adopted by many researchers. However, there are still some aspects that have not been adequately covered. In particular, it becomes widely advocated that while communicating, humans give both positive and negative information to state what they desire and what they reject. Because positive and negative statements do not necessarily mirror each other, this results in so-called heterogeneous bipolar information. Traditional fuzzy approaches do not adequately support the handling of heterogeneous bipolar information in information systems. Therefore, there is a need for more advanced techniques. In this paper, how bipolarity can be dealt with in the formulation and evaluation of selection conditions in fuzzy querying within a possibilistic, relational database framework is presented. Three novel query-evaluation techniques based on interval-valued fuzzy sets, Atanassov fuzzy sets, and twofold fuzzy sets are presented and compared with each other. Possibility theory is used to deal with uncertainty. Special attention is paid to the description of the semantics, use, benefits, and drawbacks of each formalism.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
INTUITIONISTIC FUZZY-SETS, information systems, database querying, fuzzy systems, Bipolar information, INFORMATION, LOGIC
journal title
IEEE TRANSACTIONS ON FUZZY SYSTEMS
IEEE Trans. Fuzzy Syst.
volume
18
issue
3
pages
599 - 612
Web of Science type
Article
Web of Science id
000278538000013
JCR category
ENGINEERING, ELECTRICAL & ELECTRONIC
JCR impact factor
2.683 (2010)
JCR rank
15/247 (2010)
JCR quartile
1 (2010)
ISSN
1063-6706
DOI
10.1109/TFUZZ.2010.2044183
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1043282
handle
http://hdl.handle.net/1854/LU-1043282
date created
2010-09-17 11:56:12
date last changed
2016-12-19 15:44:33
@article{1043282,
  abstract     = {Making data-querying and representation easier and more human consistent is an important research topic. In this context, fuzzy logic with its capability to model linguistic expressions provides an interesting framework, which has been adopted by many researchers. However, there are still some aspects that have not been adequately covered. In particular, it becomes widely advocated that while communicating, humans give both positive and negative information to state what they desire and what they reject. Because positive and negative statements do not necessarily mirror each other, this results in so-called heterogeneous bipolar information. Traditional fuzzy approaches do not adequately support the handling of heterogeneous bipolar information in information systems. Therefore, there is a need for more advanced techniques. In this paper, how bipolarity can be dealt with in the formulation and evaluation of selection conditions in fuzzy querying within a possibilistic, relational database framework is presented. Three novel query-evaluation techniques based on interval-valued fuzzy sets, Atanassov fuzzy sets, and twofold fuzzy sets are presented and compared with each other. Possibility theory is used to deal with uncertainty. Special attention is paid to the description of the semantics, use, benefits, and drawbacks of each formalism.},
  author       = {De Tr{\'e}, Guy and Zadrozny, Slawomir and Bronselaer, Antoon},
  issn         = {1063-6706},
  journal      = {IEEE TRANSACTIONS ON FUZZY SYSTEMS},
  keyword      = {INTUITIONISTIC FUZZY-SETS,information systems,database querying,fuzzy systems,Bipolar information,INFORMATION,LOGIC},
  language     = {eng},
  number       = {3},
  pages        = {599--612},
  title        = {Handling bipolarity in elementary queries to possibilistic databases},
  url          = {http://dx.doi.org/10.1109/TFUZZ.2010.2044183},
  volume       = {18},
  year         = {2010},
}

Chicago
De Tré, Guy, Slawomir Zadrozny, and Antoon Bronselaer. 2010. “Handling Bipolarity in Elementary Queries to Possibilistic Databases.” Ieee Transactions on Fuzzy Systems 18 (3): 599–612.
APA
De Tré, G., Zadrozny, S., & Bronselaer, A. (2010). Handling bipolarity in elementary queries to possibilistic databases. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 18(3), 599–612.
Vancouver
1.
De Tré G, Zadrozny S, Bronselaer A. Handling bipolarity in elementary queries to possibilistic databases. IEEE TRANSACTIONS ON FUZZY SYSTEMS. 2010;18(3):599–612.
MLA
De Tré, Guy, Slawomir Zadrozny, and Antoon Bronselaer. “Handling Bipolarity in Elementary Queries to Possibilistic Databases.” IEEE TRANSACTIONS ON FUZZY SYSTEMS 18.3 (2010): 599–612. Print.