A new algorithm of attribute reduction based on boolean matrix computation is proposed in this paper. The method compresses the valid information stored in table into a binary tree, at the same time deleting the invalid information and sharing a branch about the same prefix information. Some relative concepts such as local core attributes, local attribute reduction and global core attributes, g...

BACKGROUND Decision-making processes in a medical setting are complex, dynamic and under time pressure, often with serious consequences for a patient's condition. OBJECTIVE The principal aim of the present study was to trace and map the individual diagnostic process of real medical cases using a Decision Process Matrix [DPM]). METHODS The naturalistic decision-making process of 11 residents...

The purpose of this paper is to use soft set theory in decision making in banking system. A new efficient solution procedure has been developed to solve fuzzy soft set based real life decision making problems involving multiple decision makers. In this paper new technique of applying threshold for selecting an optimal set is suggested when the user deals with huge amount of data and optimal sub...

Identifying critical road sections that require prompt attention is essential for agencies to prioritize monitoring, maintenance, and rehabilitation efforts improve overall conditions safety. This study suggests a decision matrix with hierarchical structure factors in the pavement deterioration rate, infrastructure safety, crash history identify these sections. A Markov mixed hazard model was u...

Smartphone apps are closely integrated with our daily lives, and mobile malware has brought about serious security issues. However, the features used in existing traffic-based detection techniques have a large amount of redundancy useless information, wasting computational resources training models. To overcome this drawback, we propose feature selection method; core method involves choosing se...