Using contextual fuzzy views to query imprecise data

Abstract

This work is concerned with the expression of querying using fuzzy values and with the storage and handling of imprecise information. This article introduces the concept of contextual fuzzy view based on the fuzzy logic theory and on case based reasoning system. The concept of contextual fuzzy view provides (i) a way to encapsulate the flexibility management induced by fuzzy querying, (ii) an optimisation of fuzzy filtering processing time, (iii) an enlargement of users' preferences, (iv), in addition to the nearest data, an estimation of values that may be computed thanks to statistical models incorporated in case based reasoning system. The concept of contextual fuzzy view has been implemented in a prototype called CFQ written in Java language. This research takes place within a project to build a tool for the analysis of microbial risks in food products. An example of an application using CFQ is presented in the field of microbial risk assessment.