in this paper, we introduce a function in order to measure the distancebetween two order intervals of fuzzy numbers, and show that this function isa metric. we investigate some properties of this metric, and finally presentan application. we think that this study could provide a more generalframework for researchers studying on interval analysis, fuzzy analysis andfuzzy decision making.

in this paper, we prove some coupled coincidence point theorems for mappings satisfying generalized contractive conditions under a new invariant set in ordered cone metric spaces. in fact, we obtain sufficient conditions for existence of coupled coincidence points in the setting of cone metric spaces. some examples are provided to verify the effectiveness and applicability of our results.

Survival analysis and machine learning has been shown to be an indispensable aspect of disease management as it enables practitioners understand prioritize treatment mostly in terminal diseases. Cervical cancer is the most common malignant tumor female reproductive organ worldwide. which a time –to –event for survival prediction therefore needed cervical patients. Data Value Metric (DVM) inform...

In this paper, we extend Sasaki metric for tangent bundle of a Riemannian manifold and Sasaki-Mok metric for the frame bundle of a Riemannian manifold [I] to the case of a semi-Riemannian vector bundle over a semi- Riemannian manifold. In fact, if E is a semi-Riemannian vector bundle over a semi-Riemannian manifold M, then by using an arbitrary (linear) connection on E, we can make E, as a...

recently, cho et al. [y. j. cho, r. saadati, s. h. wang, common xed point theorems on generalized distance in ordered cone metric spaces, comput. math. appl. 61 (2011) 1254-1260] dened the concept of the c-distance in a cone metric space and proved some xed point theorems on c-distance. in this paper, we prove some new xed point and common xed point theorems by using the distance in ordere...

Conventional human-centric image compression techniques are optimized for human visual perception, and generally evaluated by metrics such as MSSSIM PSNR. On the other hand, task-centric that target deep neural networks (DNN) inference focus on understanding images, measured accuracy. As images should be encoded decoded differently depending metric, existing learning based have focused designin...

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background: prevalence of recurrent shoulder dislocation in patients taking tramadol has not been studiedyet so, this study aims to study the recurrent shoulder dislocation following tramadol induced seizure. methods: in this cross-sectional study, 205 patients with recurrent shoulder dislocation complaints (2 or more) referred to shafa orthopedic and iranmehr hospitals tehran, iran, from octob...