The purpose of this note is to explore in a preliminary way some of the basic properties and implications of a concept which may be of use in dealing with "classes" of the type cited above. The concept in question is that of a fuzzy
set, that is, a "class" with a continuum of grades of membership. As will be seen in the sequel, the notion of
a fuzzy set provides a convenient point of departure for the construction of a con- ceptual framework which parallels
in many respects the framework used in the case of ordinary sets, but is more general than the latter and, potentially,
may prove to have a much wider scope of applicability, particularly in the fields of pattern classification and information
proc- essing. Essentially, such a framework provides a natural way of dealing with problems in which the source
of imprecision is the absence of sharply defined criteria of class membership rather than the presence of random
variables.
The purpose of this note is to explore in a preliminary way some of the basic properties and implications of a concept which may be of use in dealing with "classes" of the type cited above. The concept in question is that of a fuzzy
set, that is, a "class" with a continuum of grades of membership. As will be seen in the sequel, the notion of
a fuzzy set provides a convenient point of departure for the construction of a con- ceptual framework which parallels
in many respects the framework used in the case of ordinary sets, but is more general than the latter and, potentially,
may prove to have a much wider scope of applicability, particularly in the fields of pattern classification and information
proc- essing. Essentially, such a framework provides a natural way of dealing with problems in which the source
of imprecision is the absence of sharply defined criteria of class membership rather than the presence of random
variables.
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