Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

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Chapter 6

Fuzzy SQL and Intelligent

Queries

Nearly all model development (as well as data mining) projects begin with

an exploration of the underlying data space. With the exception of statisti-

cal analysis, the most common tool for data exploration is the Structured

Query Language (SQL) facilities associated with nearly all modern rela-

tional databases. In this chapter, we examine ways of improving SQL

requests using fuzzy forms of the where and having statements. By applying

fuzzy logic and approximate reasoning to the evaluation of record selec-

tion and clustering, we significantly improve the robustness and utility of

database query operations. In this chapter, we will be primarily concerned

with the where statement and its various forms. We ...