INTRODUCTIONThe language used by human beings is imprecise, but for the computer the opposite stands true. Scientists are continually investigating how to create an intermediate point to enhance the communication between these different worlds. Moreover, the capacity to store large quantities of data is growing in an exponen-ABSTRACT This chapter is focused in incorporating the fuzzy capabilities to a relational database management system (RDBMS) of open source. The fuzzy capabilities include connectors, modifiers, comparators, quantifiers, and queries. The extensions consider a more flexible DDL and DML languages. The aim is to show the design and implementation details in the RDBMS PostgreSQL. For this, a fuzzy query processor and fuzzy access mechanism has been designed and implemented. The physical fuzzy relational operators have been also defined and implemented. The flow of a fuzzy query through the different modules (parser, planner, optimizer, and executor) has been shown. Some experimental results have been included to demonstrate the performance of the proposal solution. These results show that the extensions have not decreased the performance of the RDBMS.
The way human beings communicate is contextdependent and it is not easily reproduced on traditional computer systems. We propose combined advances in Context-aware Computing and Fuzzy Databases with the aim of producing more intelligent, flexible and personalized systems. We focus on the interaction of users with a Database System where contextual data could affect the output. We present a development of an application for the Venezuelan Children's Orthopedic Hospital. The data for lower limb joints may be imperfect or fuzzy on database queries. We have developed a web application with an interface for mobile devices with Android operating systems.
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