Are complex predicates—in particular, negated (e.g., not expensive), conjunctive (e.g., expensive and time consuming) and disjunctive predicates (e.g., tall or bald)—associated with a graded structure, namely a mapping of entities to degrees? On the one hand, most up to date semantic theories of gradability and comparison in natural language disregard this question. On the other hand, contempor...

Advances in technology have made life simpler today's society by supplying us with a variety of emerging demands lacking By assessing the progressive stability biometric recognition accuracy for newborns, can be used to recognize missing newborns and prevent them from being switched higher-level hospitals.. Recognizing authenticating is major problem many hospitals. The face system does an outs...

minimizing production costs for a certain amount of product is one of the main concerns for managers of agricultural and animal husbandry units. much of the cost of a unit of livestock (almost 75%) is related to methods of nutrition and ration. accordingly, using some methods to reduce costs, including methods of mathematical programming, is required. the linear programming model was used as th...

Description Logics (DLs) are nowadays used to face a variety of problems. When dealing with numerical data coming from the real world, however, the use of traditional logics results in a loss of useful information that can be otherwise exploited using more expressive logics. Fuzzy extensions of traditional DLs, being able to represent vague concepts, are well suited to reason on such objects. I...

We develop an effective nonhierarchical data clustering method using an analogy to the dynamic coarse graining of a stochastic system. Analyzing the eigensystem of an interitem transition matrix identifies fuzzy clusters corresponding to the metastable macroscopic states (macrostates) of a diffusive system. A "minimum uncertainty criterion" determines the linear transformation from eigenvectors...

In this paper we face the problem of the automatic selection of relevant levels in a hierarchy of fuzzy segmentations. Today there is a wide variety of techniques (multiscale or hierarchical) to analyze an image with several levels of detail, but they don’t consider that not all the segmentations resulting from this process are interesting for the user. Here we propose a technique based in meas...

The analysis of human-centered systems (HCS) is complex, involving vagueness, uncertainty and ill-defined data. The subjective nature of human classifications renders classical logics approaches almost useless to deal with HCS. Fuzzy Logics (FL) provides a mathematical framework for the systematic treatment of vagueness and imprecision; facilitates the elicitation and encoding of uncertainty-re...