Background: In this paper, a generic hesitant fuzzy set (HFS) model for clustering various ECG beats according to weights of attributes is proposed. A comprehensive review of the electrocardiogram signal classification and segmentation methodologies indicates that algorithms which are able to effectively handle the nonstationary and uncertainty of the signals should be used for ECG analysis. Ex...

Memory corruption is one of the most common software failures. For sequential software and multitasking software with synchronized data accesses, it has been shown that program faults causing memory corruption can be detected by analyzing the relations between defines and uses of variables (DU-based testing). However, such methods are insufficient in preemptive systems, since they lack the abil...

This paper proposed a multi-objective, multi-disciplinary design optimization and multi-attribute evaluation method for the manned lunar lander descent stage. A system model is established considering multiple disciplines such as propulsion, structure, trajectory cost. With goal of minimizing mass, cost maximizing velocity increment, overall scheme hybrid rocket motors was optimized by altering...

In a growing number of application areas, a subject or phenomenon is investigated by means of multiple datasets being acquired over time (spatiotemporal), comprising several attributes per data point (multi-variate), stemming from different data sources (multi-modal) or multiple simulation runs (multi-run/ensemble) [KH13]. Interactive visual analysis (IVA) comprises concepts and techniques for ...

BACKGROUND Although the research in health seeking behavior has been evolving, its concept remains ambiguous. Concept clarification, as a central basis of developing knowledge, plays an undeniable role in the formation of nursing sciences. As the initial step toward the development of theories and theoretical models, concept analysis is broadly used through which the goals can be used and teste...

Organizations use process mining techniques to analyze event data recorded by their information systems. Multi-perspective process mining techniques make use of data attributes attached to events to analyze processes from multiple perspectives. Applying those multi-perspective process mining techniques in practice is a laborious task when the event data contains a large number of attributes and...

Image quality metrics have become more and more popular in the image processing community. However, so far, no one has been able to define an image quality metric well correlated with the percept for overall image quality. One of the causes is that image quality is multi-dimensional and complex. One approach to bridge the gap between perceived and calculated image quality is to reduce the compl...

When the spatial quality of reproduced sound is to be assessed, knowledge of the dimensions forming the quality is essential since the quality is known to be multi-dimensional. The dimensions could be indicated by attributes describing them. Attributes encountered during a previous experiment are considered by a group of subjects and their responses are analysed for finding the attributes’ appl...

during recent years, determining appropriate strategy in the supply chain has become an important strategic issue. however, the nature of these decisions usually is complex and unstructured. to determine the best supply chain strategy, many quantitative and qualitative attributes such as cost, responsiveness and flexibility can be taken into account. in order to approximate the human subjective...