logica difusa

LÓGICA DIFUSA
"Is there a need for fuzzy logic?" is an issue which is associated with a long history of spirited discussions and debates. There are many misconceptions about fuzzy logic. Fuzzy logicis not fuzzy. Basically, fuzzy logic is a precise logic of imprecision and approximate reasoning. More specifically, fuzzy logic may be viewed as an attempt at formalization/mechanization of tworemarkable human capabilities. First, the capability to converse, reason and make rational decisions in an environment of imprecision, uncertainty, incompleteness of information, conflicting information,partiality of truth and partiality of possibility- in short, in an environment of imperfect information. And second, the capability to perform a wide variety of physical and mental tasks without anymeasurements and any computations (Zadeh 1999, 2001). In fact, one of the principal contributions of fuzzy logic-a contribution which is widely unrecognized-is its high power of precisiation. Fuzzylogic is much more than a logical system. It has many facets. The principal facets are: logical, fuzzy-set-theoretic, epistemic and relational. Most of the practical applications of fuzzy logic areassociated with its relational facet. In this paper, fuzzy logic is viewed in a nonstandard perspective. In this perspective, the cornerstones of fuzzy logic-and its principal distinguishing features-are:graduation, granulation, precisiation and the concept of a generalized constraint.
La lógica difusa es una lógica precisa de imprecisión y razonamiento aproximado.
La lógica difusa puede ser vistocomo un intento de formalización / mecanización de dos notables capacidades humanas. En primer lugar, la capacidad de conversar, razonar y tomar decisiones racionales en un ambiente de imprecisión, laincertidumbre, el carácter incompleto de la información, información contradictoria, la parcialidad de la verdad y la parcialidad de la posibilidad, en una palabra, en un entorno de información...