Fuzzy sets and applications
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
On the inclusion of importances in OWA aggregations
The ordered weighted averaging operators
Flexible query answering systems
Flexible query answering systems
Principles and Applications
Knowledge Management in Fuzzy Databases
Knowledge Management in Fuzzy Databases
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
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Veristic variables are variables that can assume multiple values such as the languages a person speaks. Different types of statements providing information about veristic variables are described. A methodology for representing and manipulating veristic information within the fuzzy set based theory of approximate reasoning is presented. We then turn to the role of these types of variables in databases. We consider methods for representing and evaluating queries involving veristic variables. Methodologies are presented for various types of queries.