in some statistical process control applications, the quality of the product is characterized by thecombination of both correlated variable and attributes quality characteristics. in this paper, we propose anovel control scheme based on the combination of two multi-layer perceptron neural networks forsimultaneous monitoring of mean vector as well as the covariance matrix in multivariate-attribu...

today, environmental crisis and loss of natural resources are the principle causes of the creation of environmental management systems. the optimal management of natural resources requires the assessment and classification of ecological and environmental potentials. using this method, the abilities and restrictions of resources can be recognized, and their future trends can be predicted. nebka ...

In view of the multi-attribute decision-making problem that the attribute values are grey multi-source heterogeneous data, a decision-making method based on kernel and greyness degree is proposed. The definitions of kernel and greyness degree of an extended grey number in a grey multi-source heterogeneous data sequence are given. On this basis, we construct the kernel vector and greyness degree...

Finding the optimal solution of a Multi-Attribute Decision Problem (MADP) is a key problem for electronic commerce systems. In this paper, we formally define the multi-attribute decision problem, and we report our survey of four different methods (soft-CSP framework, multi-attribute decision theory, CPnetwork, and Heuristic strategies) which potentially could be used to solve the MADP, and thei...

Based on multi-attribute decision making theory, a multi-attribute assessment framework for Ecommerce risks is presented. The paper applies an improved evidential reasoning(ER) approach to support evaluation decision, and uses a credit interval to figure scoring result and allow something absence. E-Commerce risks includes environmental risks, management risks, technical risks and information r...

Facial Attribute Classification (FAC) has attracted increasing attention in computer vision and pattern recognition. However, state-of-the-art FAC methods perform face detection/alignment independently. The inherent dependencies between these tasks are not fully exploited. In addition, most predict all facial attributes using the same CNN network architecture, which ignores different learning c...

Data cube queries containing aggregate functions often combine multiple tables through join operations. We can extend this to “Multi-Join Expansion_Aggregate” data cube queries by using more than one aggregate functions in “SELECT” statement in conjunction with relational operators. In parallel processing for such queries, it must be decided which attribute to use as a partitioning attribute, i...

Cloud computing is a recent technology provides a flexible, on-demand and low cost feature of computing resources. The Main issue in Cloud Computing is user identity privacy and data content privacy. The User Privacy in Cloud Computing is achieved by various data access control Schemes. Existing Fully Anonymous Access control scheme with decentralized attribute authority provides data content p...