In this study, a fuzzy similarity approach for Arabic web pages classification is presented. The approach uses a fuzzy term-category relation by manipulating membership degree for the training data and the degree value for a test web page. Six measures are used and compared in this study. These measures include: Einstein, Algebraic, Hamacher, MinMax, Special case fuzzy and Bounded Difference ap...

a new approach to define the similarity measure betweeninterval-valued fuzzy sets is presented. the proposed approach isbased on a weighted measure in which the normalized similaritiesbetween lower functions and also between upper functions arecombined by a weight parameter. the properties of this similaritymeasure are investigated. it is shown that, the proposed measurehas some advantages in c...

PURPOSE In many clinical MRI scenarios, existing imaging information can be used to significantly shorten acquisition time or to improve Signal to Noise Ratio (SNR). In this paper the authors present a framework, referred to as FASTMER, for fast MRI by exploiting a reference image. METHODS The proposed approach utilizes the possible similarity of the reference image to the acquired image, whi...

Phrase has been considered as a more informative feature term for improving the effectiveness of document clustering. In this paper, a weighted phrase-based document similarity is proposed to compute the pairwise similarities of documents based on the Weighted Suffix Tree Document (WSTD) model. The weighted phrase-based document similarity is applied to the Group-average Hierarchical Agglomerat...

31 Working memory representations serve as templates that guide behavior, but the neural 32 basis of these templates remains elusive. We tested the hypothesis that working memory 33 templates are maintained by biasing activity in sensoriperceptual neurons that code for 34 features of items being held in memory. Neural activity was recorded using event-related 35 potentials (ERPs) as participant...

We introduce a weight assignment logic for reasoning about quantitative languages of infinite words. This logic is an extension of the classical MSO logic and permits to describe quantitative properties of systems with multiple weight parameters, e.g., the ratio between rewards and costs. We show that this logic is expressively equivalent to unambiguous weighted Büchi automata. We also consider...

Working memory (WM) representations serve as templates that guide behavior, but the neural basis of these templates remains elusive. We tested the hypothesis that WM templates are maintained by biasing activity in sensoriperceptual neurons that code for features of items being held in memory. Neural activity was recorded using event-related potentials (ERPs) as participants viewed a series of f...

In this paper, we investigate belief revision in possibilistic logic, which is a weighted logic proposed to deal with incomplete and uncertain information. Existing revision operators in possibilistic logic are restricted in the sense that the input information can only be a formula instead of a possibilistic knowledge base which is a set of weighted formulas. To break this restriction, we cons...