This paper proposes a new interpretation of quantified linguistic queries based on a combination of random set theory and prototype theory and which is consistent with the label semantics framework. In this approach concepts are defined by random set neighbourhoods of a set of prototypes and quantifiers are similarly defined by random set constraints on ratios or absolute values. We then propose a computationally feasible method for evaluating quantified statement describing the elements of a database.
|Translated title of the contribution||A Random Set and Prototype Theory Model of Linguistic Query Evaluation|
|Title of host publication||Scalable Fuzzy Algorithms for Data Management and Analysis|
|Editors||Anne Laurent AND Marie-Jeanne Lesot|
|Pages||159 - 169|
|Number of pages||10|
|Publication status||Published - 2010|