Pattern classification is an important task for many practical systems. Many classifier systems rely on similarity measures to classify unknown patterns. Signal patterns are an interesting class of patterns exhibited in many sensorbased systems. In this paper we present three fuzzy similarity measures that can be used for signal pattern classification. We use the three fuzzy similarity measures...

objectives: deterioration in postural control mechanisms is termed postural instability and results increased postural sway and many laboratory techniques and instruments are characterized by a wide range of neurological signs and symptoms to the medical management. thus the current study designed to assess the reliability of commonly used clinical measures of balance and determined normal valu...

Relative to the existence of a supercompact cardinal with a measurable cardinal above it, we show that it is consistent for א1 to be regular and for אω1+1 to be measurable and to carry precisely τ normal measures, where τ ≥ אω1+2 is any regular cardinal. This extends the work of [2], in which the analogous result was obtained for אω+1 using the same hypotheses. In [2], models were constructed f...

We prove that nonlinear Gibbs measures can be obtained from the corresponding many-body, grand-canonical, quantum Gibbs states, in a mean-field limit where the temperature T diverges and the interaction strength behaves as 1/T . We proceed by characterizing the interacting Gibbs state as minimizing a functional counting the free-energy relatively to the non-interacting case. We then perform an ...

A hierarchy of measures of decoherence for many-electron systems that is based on the purity and the hierarchy of reduced electronic density matrices is presented. These reduced purities can be used to characterize electronic decoherence in the common case when the many-body electronic density matrix is not known and only reduced information about the electronic subsystem is available. Being de...

A bracketing metric entropy bound for the class of Laplace transforms of probability measures on [0, ∞) is obtained through its connection with the small deviation probability of a smooth Gaussian process. Our results for the particular smooth Gaussian process seem to be of independent interest.

The performance assessment of supply chains including sustainability dimensions of economic, environmental and social is a significant aspect for managers and decision makers. Furthermore, imprecise data are presented in many real world applications. Therefore, the current paper proposes an approach based on data envelopment analysis (DEA) to analyze the revenue efficiency of sustainable supply...

BACKGROUND In many randomized and non-randomized comparative trials, researchers measure a continuous endpoint repeatedly in order to decrease intra-patient variability and thus increase statistical power. There has been little guidance in the literature as to selecting the optimal number of repeated measures. METHODS The degree to which adding a further measure increases statistical power ca...