The Taiwan national health insurance was first conducted in 1995 and plans of health insurance payment have been modified several times. Nowadays, hospital operating environment is getting more and more competitive. Therefore, how to take the advantage of competitiveness is the urgent topic of gaining advantage of competitiveness. The objective of this study is to identify a qualitative dynamic...

In the computer-aided medical diagnosis, the problem of missing attribute values in many medical data sets brings a great challenge to data mining. To solve the problem, this paper proposes a method based on density clustering and grey relational analysis. It provides an effective solution for missing medical data. The method uses the characteristic and degree of data samples dynamic relation a...

We describe a search problem in which a decision maker (DM) must select several sequentially-encountered options. Each option is described by multiple attributes, and the value of an option is given by a function of its attribute values. However, the attribute values are not known with certainty, and can only be ascertained in a predefined order, at some fixed cost. During the search the DM can...

The molecule-atom data model allows the dynamic construction of complex objects using an identifier-reference concept. The model and its implementation in the PRIMA system are sketched. Then, with the help of some sample queries, some alternatives for query evaluation are discussed. The decision among the possible algorithms cannot be based on the standard statistics such as distribution of an ...

in this paper, the application of neural networks for simulation and optimization of the cogeneration systems has been presented. cgam problem, a benchmark in cogeneration systems, is chosen as a casestudy. thermodynamic model includes precise modeling of the whole plant. for simulation of the steadysate behavior, the static neural network is applied. then using dynamic neural network, plant is...

In this paper we present key-value provenance model (KVPM). In KVPM, provenance information can be collected for both, the data and the data’s schema in a key-value system. Collection of the information is application-driven, and it can collected at different levels of the data model hierarchy. Here we present the capabilities of the KVPM system along with its design and implementation for Cass...

Context effects preference changes depending on the availability of other options have wide ranging implications across applied and theoretical domains, and have driven the development of new dynamic models of multi-attribute and multialternative choice. We propose the Multi-attribute Linear Ballistic Accumulator (MLBA), a new dynamic model that provides a quantitative account of the co-occurre...

The delay discounting perspective, which assumes an alternative-wise processing of attribute information, has long dominated research on intertemporal choice. Recent studies, however, have suggested that intertemporal choice is based on attribute-wise comparison. This line of research culminated in the tradeoff model (Scholten & Read, 2010; Scholten, Read, & Sanborn, 2014), which can accommodat...

In this work, a new DNA-based semantic model is proposed and described theoretically. This model, referred to as ‘semantic model based on molecular computing’ (SMC) has the structure of a graph formed by the set of all attribute-value pairs contained in the set of represented objects, plus a tag node for each object. Attribute layers composed of attribute values then line up. Each path in the n...