Abstract :
In the Zadehian formalization, a grade function is defined with respect to a single object, and not to a group of objects. This paper proposes a formal framework which enable us to examine a complicated relationship among groups of objects, and to deal with loosely-defined concepts at the non-quantitative level. Assuming that each object is characterized by a set of predicates as a binary vector, whose components are 1 or 0 according to whether the object affirms a predicate or not, we first examine the relationship among objects in reference to the choice of predicates (or classifier) and formulate a formal theory of classification of objects by predicates. The formalization is perfectly symmetrical between the objects and the predicates, and it allows us to consider a classification of predicates by objects. Based on this reciprocal view of classification, we clarify a formal basis of equality between two groups of objects, propose a new approach to clustering and discuss its merits by showing examples
Keywords :
fuzzy set theory; pattern classification; pattern clustering; vectors; Zadehian formalization; binary vector; clustering; equality; fuzzy set theory; grade function; intergroup relationship; loosely defined concepts; nonquantitative level; object classification; object group; object relationships; object-predicate table; predicate classification; reciprocal view; symmetrical formalization; Fasteners; Fuzzy logic; Fuzzy sets; Pattern analysis; Pattern recognition;