Jesus said, "The thief cometh not, But for to steal, to kill, and to destroy: I am come that they might have life, and that they might have it more abundantly." Lest the price should have been paid in vain, let us proceed to the reading of the Last Will and Testament of our Lord and Saviour, Jesus Christ. I cannot abide the thought of one day standing before Him only to have Him ask me why I did not receive those things that He bought and left behind for me. It indeed is not even my right to leave them on the shelf when they cost Him so dearly, as He purposed to buy them for me.
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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