The popularity of the Android platform in smartphones and other Internet-of-Things devices
has resulted in the explosive of malware attacks against it. Malware presents a serious …

Feature selection plays an important role in pattern recognition and machine learning.
Feature evaluation and classification complexity estimation arise as key issues in the …

Rational decisions are based on information usually uncertain, imprecise and incomplete.
The existing decision theories deal with three levels of generalization of decision making …

Fusing a number of classifiers can generally improve the performance of individual
classifiers, and the fuzzy integral, which can clearly express the interaction among the …

In this paper, a classification method based on fuzzy linguistic rules is exposed. It is applied
for the recognition of the gradual color of wood in an industrial context. The wood, which is a …

Usability tests of new products require the use of methodologies based on how to validate a
prototype on the basis of the user's subjective and even unconscious feelings. This is …

With the increasing sophistication of today's software systems, it is often difficult to estimate
the overall quality of underlying software components with respect to attributes such as …

The present paper describes a new feature weighting method based on a membership
margin. Distinctive properties of the proposed method include its capability to process …

Develo** and optimizing fuzzy relation equations are of great relevance in system
modeling, which involves analysis of numerous fuzzy rules. As each rule varies with respect …

This work proposes a systematic approach for the design of formulated products
incorporating consumer assessment and heuristic knowledge. The methodology is divided …