The aim of the article is to present a novel method for fuzzy medical image retrieval (FMIR)
using vector quantization (VQ) with fuzzy signatures in conjunction with fuzzy S-trees. In past …

This paper offers a new approach that applies the signatures to expert systems modelling.
Signatures and their operators, viewed as a generalization of fuzzy signatures, represent a …

This paper presents a new framework for the symbolic representation of data which is
referred to as signatures. The definitions of signatures and of signature trees are first given …

As the number of requests in the cloud increases, providers face more problems (eg, task
scheduling and resource management). The exhaustive search for determining the optimal …

Fuzzy classification is one of the most important applications in fuzzy set and fuzzy-logic-
related research. Its goal is to find a set of fuzzy rules that form a classification model. Most of …

Fingerprint identification is a well-known technique in forensic sciences. The basic idea of
identifying a subject based on a set of features left by the subject actions or behavior can be …

This paper presents results concerning the observation process modelling in the framework
of cognition processes which belong to a new pattern of human knowledge. The cultural …

The hierarchical fuzzy signatures structure is a novel concept that can be used to find the
degree of similarity or dissimilarity of objects which contain complex structured data, for …

There are many areas where objects with very complex and sometimes interdependent
features are to be classified; similarities and dissimilarities are to be evaluated. This makes a …

Hierarchical Fuzzy Signatures are generalizations of the Vector Valued Fuzzy Set concept
introduced in the 1970s. A crucial question in the Fuzzy Signature context is what kinds of …