Quantifiers in the formulation of multiple objective decision functions
Information Sciences: an International Journal
Database queries with fuzzy linguistic quantifiers
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Connectives and quantifiers in fuzzy sets
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
Using fuzzy sets in flexible querying: why and how?
Flexible query answering systems
Fuzzy queries against regular and fuzzy databases
Flexible query answering systems
A relational model of data for large shared data banks
Communications of the ACM
Decision Support and Expert Systems: Management Support Systems
Decision Support and Expert Systems: Management Support Systems
Fril- Fuzzy and Evidential Reasoning in Artificial Intelligence
Fril- Fuzzy and Evidential Reasoning in Artificial Intelligence
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
Towards a Flexible Query Language
Advanced Internet Based Systems and Applications
Cluster analysis and fuzzy query in ship maintenance and design
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Formalization for natural language fuzzy queries and crisp multi-criteria queries
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Journal of Data and Information Quality (JDIQ)
A new method for computing fuzzy functional dependencies in relational database systems
Expert Systems with Applications: An International Journal
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Managers, in today's corporations, rely increasingly on the use of databases to obtain insights and updated information to make their decisions. This paper describes a flexible query interface based on fuzzy logic. Hence, queries in natural language with pre-defined syntactical structures are performed, and the system uses a fuzzy natural language process to provide answers. This process uses the fuzzy translation rules of the meaning representation language PRUF, proposed by Zadeh (Intern. J. Man-Machine Studies 10 (1978) 395). The interface was built for a relational database of the 500 biggest non-financial Portuguese companies. The attributes considered are the economic and financial indicators. Examples of pseudonatural language queries, such as "is company X very profitable?" or "are most private companies productive?", are presented to show the capabilities of this human-oriented interface.