Handbook of Research on Fuzzy Information Processing in Databases: Volume I

Abstract

Description: The Handbook of Research on Fuzzy Information Processing in Databases provides comprehensive coverage and definitions of the most important issues, concepts, trends, and technologies in fuzzy topics applied to databases, discussing current investigation into uncertainty and imprecision management by means of fuzzy sets and fuzzy logic in the field of databases and data mining. Through 34 authoritative contributions by over 75 of the world's leading experts, the Handbook of Research on Fuzzy Information Processing in Databases offers researchers, students, and organizations a complete, practical, guide to fuzzy information processing in databases. Coverage: The many academic areas covered in this publication include, but are not limited to: • Aggregation operations • Application of fuzzy databases • Bipolar queries in fuzzy information processing • Case Based Reasoning (CBR) • Dynamic causal mining • Extension Principle • Flexible database querying • Fuzzy comparators • Fuzzy Data Mining • Fuzzy datatypes • Fuzzy dependencies • Fuzzy implications • Fuzzy information processing in databases • Fuzzy knowledge management • Fuzzy languages • Fuzzy libraries for processing fuzzy information • Fuzzy modeling tools • Fuzzy object-oriented databases • Fuzzy object-relational databases • Fuzzy quantifiers • Fuzzy queries • Fuzzy relational databases • Fuzzy technologies for databases • Fuzzy time • Hierarchical fuzzy sets • Implementation of fuzzy databases • Linguistic labels • Machine learning approach to data cleaning in databases • Membership functions • Query expansion by taxonomy • Relational database querying • Representation theorem • Shipwreck scatter analysis • Spatial uncertainty management.