Formal Concept Analysis (FCA) allows to analyze binary data by deriving concepts and ordering them in lattices. One of the main goals FCA is enable humans comprehend information that encapsulated data; however, large size concept lattices a limiting factor for feasibility understanding underlying structural properties. The such lattice depends on number subcontexts corresponding formal context ...

Pedestrian Attribute Recognition (PAR) is an important task in computer vision community and plays role practical video surveillance. The goal of this paper to review existing works using traditional methods or based on deep learning networks. Firstly, we introduce the background pedestrian attribute recognition, including fundamental concepts formulation attributes corresponding challenges. Se...

Attribute weighting is a task of paramount relevance in multi-attribute decision-making (MADM). Over the years, different approaches have been developed to face this problem. Despite effort community, there lack consensus on which method most suitable one for given problem instance. This paper second part two-part survey attribute methods MADM scenarios. The first introduced categorization five...

to identify important attributes/factors that contribute to grain and biological yields of wheat, 9912 sets of diverse data from field studies were extracted, and supervised attribute-weighting models were employed. results showed that when biological yield was the output, grain yield, nitrogen applied, rainfall, irrigation regime, and organic content were the most important factors/attributes,...

the sanction (tasvib) and the denigration (takhtia) problem is one of the differences of opinions between the moslems' usolist. for the answer to this question that which religion and belief follows the sanction or the denigration, there is no clear expression. whatever we see in the  principle imamye's writings,  they relate the  basis of  the  denigration to imamye and the basis of ...