In the 21st century, as technologies of perceptual recognition develops, devices of information generation begin to accurately sense, measure and monitor the physical world in real time.Complex Event Processing(CEP), which can be used to extract user level information from raw data, becomes the key part of the IoT middleware. Most of the current study of complex event processing has not focus o...

Unsupervised classification called clustering is a process of organizing objects into groups whose members are similar in some way. Clustering of uncertain data objects is a challenge in spatial data bases. In this paper we use Probability Density Functions (PDF) to represent these uncertain data objects, and apply Uncertain K-Means algorithm to generate the clusters. This clustering algorithm ...

Generalized trapezoidal fuzzy numbers (GTFNs) have been widely applied in uncertain decision-making problems. The similarity between GTFNs plays an important part in solving such problems, while there are some limitations in existing similarity measure methods. Thus, based on the cosine similarity, a novel similarity measure of GTFNs is developed which is combined with the concepts of geometric...

Uncertainty is inherent in various applications, such as Sensor Networks, Large Datasets, Medicine, Mobile Networks, Biomedical and Clinical Data, Social and Economical Research. Uncertain data poses significant challenges for data analytic tasks. Analysis of large collections of uncertain data is a primary task in these applications, because data is vague, ambiguous, incomplete, and inefficien...

 We consider a generalization of the classical quadratic assignment problem, where coordinates of locations are uncertain and only upper and lower bounds are known for each coordinate. We develop a mixed integer linear programming model as a robust counterpart of the proposed uncertain model. A key challenge is that, since the uncertain model involves nonlinear objective function of the ...

In the present paper we investigate a EOQ model for imperfect items under time variable linear demand. The defective items is being screened out by a 100 % screening process and then sold in a single batch by the end of the 100% screening process with a salvage price. The unsold perfect item during the cycle is sold at a different salvage price at the end of cycle. Two different types for cost ...