Assessing the degree to which two objects, an object and a query,
or two concepts are similar or compatible is a fundamental
component of human reasoning and consequently is critical in the
development of automated diagnosis, classification, information
retrieval and decision systems. The assessment of similarity has
played an important role in such diverse disciplines such as
taxonomy, psychology, and the social sciences. Each discipline has
proposed methods for quantifying similarity judgments suitable for
its particular applications. This book presents a unified approach
to quantifying similarity and compatibility within the framework of
fuzzy set theory and examines the primary importance of these
concepts in approximate reasoning. Examples of the application of
similarity measures in various areas including expert systems,
information retrieval, and intelligent database systems are
provided.
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