Interval valued fuzzy sets based on normal forms
Fuzzy Sets and Systems
Twofold fuzzy sets and rough sets—Some issues in knowledge representation
Fuzzy Sets and Systems
Fuzzy relational algebra for possibility-distribution-fuzzy-relational model of fuzzy data
Journal of Intelligent Information Systems
Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets
Fuzzy Sets and Systems
Database research faces the information explosion
Communications of the ACM
Using OWA operator in flexible query processing
The ordered weighted averaging operators
Using fuzzy sets in flexible querying: why and how?
Flexible query answering systems
Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
Computing with words in intelligent database querying: standalone and internet-based application
Information Sciences—Informatics and Computer Science: An International Journal - Special issue computing with words
Fuzziness in Database Management Systems
Fuzziness in Database Management Systems
Fuzzy Database Modeling
Recent Issues on Fuzzy Databases
Recent Issues on Fuzzy Databases
Possibility Theory, Probability Theory and Multiple-Valued Logics: A Clarification
Annals of Mathematics and Artificial Intelligence
Querying with Intrinsic Preferences
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Bipolarity in Flexible Querying
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
Bipolarity in Possibilistic Logic and Fuzzy Rules
SOFSEM '02 Proceedings of the 29th Conference on Current Trends in Theory and Practice of Informatics: Theory and Practice of Informatics
Preferences; Putting More Knowledge into Queries
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Bipolar Queries and Queries with Preferences (Invited Paper)
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Fuzzy Databases: Modeling, Design, and Implementation
Fuzzy Databases: Modeling, Design, and Implementation
Preface to the special issue on advances in fuzzy database technology: Introduction
International Journal of Intelligent Systems
Interval-valued versus intuitionistic fuzzy sets: Isomorphism versus semantics
Pattern Recognition
Handbook of Research on Fuzzy Information Processing in Databases
Handbook of Research on Fuzzy Information Processing in Databases
An introduction to bipolar representations of information and preference
International Journal of Intelligent Systems
International Journal of Intelligent Systems
Fuzzy Sets and Systems
Fuzzy sets in database and information systems: Status and opportunities
Fuzzy Sets and Systems
Bipolar possibilistic representations
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
About Possibilistic Queries and Their Evaluation
IEEE Transactions on Fuzzy Systems
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
A flexible bipolar querying approach with imprecise data and guaranteed results
Fuzzy Sets and Systems
Bipolar queries: An aggregation operator focused perspective
Fuzzy Sets and Systems
Handling heterogeneous bipolar information for modelling environmental syndromes of global change
Environmental Modelling & Software
On a fuzzy bipolar relational algebra
Information Sciences: an International Journal
Hi-index | 0.00 |
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.