Fundamentals of Fuzzy Sets covers the basic elements of fuzzy set
theory. Its four-part organization provides easy referencing of recent
as well as older results in the field.
The first part discusses the historical emergence of fuzzy sets, and
delves into fuzzy set connectives, and the representation and
measurement of membership functions. The second part covers fuzzy
relations, including orderings, similarity, and relational equations.
The third part, devoted to uncertainty modelling, introduces possibility
theory, contrasting and relating it with probabilities, and reviews
information measures of specificity and fuzziness. The last part
concerns fuzzy sets on the real line - computation with fuzzy intervals,
metric topology of fuzzy numbers, and the calculus of fuzzy-valued
functions. Each chapter is written by one or more recognized specialists
and offers a tutorial introduction to the topics, together with an
extensive bibliography.