Fuzzy Databases: Principles and Applications
This volume presents the results of approximately 15 years of work from researchers around the world on the use of fuzzy set theory to represent imprecision in databases. The maturity of the research in the discipline and the recent developments in commercial/industrial fuzzy databases provided an opportunity to produce this survey. In this introduction we will describe briefly how fuzzy databases fit into the overall design of database systems and then overview the organization of the text. FUZZY DATABASE LANDSCAPE The last five years have been witness to a revolution in the database research community. The dominant data models have changed and the consensus on what constitutes worthwhile research is in flux. Also, at this time, it is possible to gain a perspective on what has been accomplished in the area of fuzzy databases. Therefore, now is an opportune time to take stock of the past and establish a framework. A framework should assist in evaluating future research through a better understanding of the different aspects of imprecision that a database can model [ 1 l.
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applications approaches attribute values basic Boolean clusters Computer concept condition considered context crisp data model database model Database Systems DBMS DBTG defined definition degree described developed Dioxin domain calculus domain values elements entity Entity-Relationship Model equivalence classes evaluation example experts expression extension fuzzy data fuzzy database Fuzzy Information fuzzy logic fuzzy numbers fuzzy predicate fuzzy query fuzzy relational database fuzzy set theory Fuzzy SQL geographical information systems hedge hierarchy imprecision incomplete indiscernibility Information Systems interpretation Jones level values linguistic lower approximation membership function membership value normal form null values object object-oriented operations pollution possibility distributions Proc properties proximity relations quantifier query language record type redundant tuples relation schema relational algebra relational calculus relational model relationships representation represented result relation retrieval rough relational database rough sets salary satisfy SELECT similarity relation SITE_ID specified structure subset threshold tuple calculus uncertainty upper approximation