Landslide susceptibility analysis has become a necessary means of pre-disaster portal positioning and scientific early warning. How can an effective zoning model landslide be established to examine the important factors affecting development in coal mine areas? Focusing on need for reliability areas, cataloging environmental factor data were used as objects, combined with knowledge mechanisms, ...

As technology competition between countries and companies becomes increasingly intense, various commercial policy means are being used to hinder the development of competitors. The risk is thus much higher than before must be accurately assessed so that timely preventive measures can taken ensure safety development. In this paper, a hybrid data-knowledge driven method proposed for constructing ...

Introduction Vast amounts of sports data are routinely collected about players, coaching decisions and game events. Making sense of this data is important to those seeking an edge. By transforming this data into actionable knowledge, scouts, managers and coaches can have a better idea of what to expect from opponents and be able to use a player draft more effectively. With millions of dollars r...

This paper briefly elaborates on a development in (applied) fuzzy logic that has taken place in the last couple of decades, namely, the complementation or even replacement of the traditional knowledge-based approach to fuzzy rule-based systems design by a data-driven one. It is argued that the classical rule-based modeling paradigm is actually more amenable to the knowledge-based approach, for ...

 Abstract Objective: The intervention program evaluated through a randomized controlled trial design, on 116 women aged 40-65, based on Intervention Map to increase consumption of calcium rich foods to prevent osteoporosis. Method: Osteoporosis knowledge and stages of change of calcium intake were as the effect variables and frequency of calcium rich foods consumption was as the outcome variabl...

This thesis develops measures that enable comparisons of subjective information that is represented through fuzzy sets. Many applications rely on information that is subjective and imprecise due to varying contexts and so fuzzy sets were developed as a method of modelling uncertain data. However, making relative comparisons between data-driven fuzzy sets can be challenging. For example, when da...

This article describes an application that illustrates the role of data mining technology in identifying hidden causal knoledge from health and medical data repositories. Across the health care and medical enterprises, a wide variety of data is being generated at a rapid rate. Current information technologies tends to focus on a more statical side of causal knowledge and do not address the dyna...

A novel fuzzy-neural tree (FNT) is presented, where each tree node uses a Gaussian as a fuzzy membership or possibility distribution in place of sigmoidal function in conventional neural networks. Although neural networks with Gaussian activation functions as well as different types of cooperative neuro-fuzzy systems have been extensively described in the literature, the FNT presented in this p...