Abstract
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 |
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| Original language | English |
| Title of host publication | Scalable Fuzzy Algorithms for Data Management and Analysis |
| Editors | Anne Laurent AND Marie-Jeanne Lesot |
| Publisher | IGI Global |
| Pages | 159 - 169 |
| Number of pages | 10 |
| ISBN (Print) | 9781605668581 |
| Publication status | Published - 2010 |