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Chinese cuisine has a long history. Therefore, it guide Taiwanese hospitality industry have positive development. This study is based on Taiwanese hospitality industry as the research object. The research introduced the concepts of "life" and "death" into analyses and diagnoses of operation of the organization and constructed an index of evaluation of "vitality" to provide...
This research aims to group bicycle customers' data through RFM (recently, frequency, monetary amount) model to find out characteristics of different customer clusters. Then this research designs the scales that conform to bicycle product and service quality (2009) to locate overall dimension of product and service quality. Additionally this research uses grouping result and questionnaire survey (2005)...
This study analyzes the dimensions of the vitality of development for banking systems. Fuzzy synthetic decisions are used to construct and evaluate a vitality of training, assigning and development index, to offer banks new perspectives and methods of assessment. In this study, we analyze the vitality index for human resources development of banking system. For the uncertainty, the factor weight for...
Selecting the most suitable learning object in SCORM-compliant learning object recommendation system is a complex decision process. We exploit the techniques of collaborative concept map design, ontology explaining, an evidence reasoning that may be use to deal with uncertain decision making, an evaluation analysis model and the evidence combination rule of the Dempster-Shafer theory for supporting...
Clustering is a significant and difficult problem in data stream mining due to a mass of streaming data arriving continuously. High-dimensional data streams make clustering analysis more complex because of the sparsity of data. In this paper, we propose a new clustering method for high-dimensional data streams, called WSCStream. The method incorporates a fading cluster structure and a dimensional...
We know that ranking fuzzy numbers plays an important role in decision-making and some other fuzzy application areas. In this paper, a new definition on mean of fuzzy number---quasi-mean is given. Based on the quasi-means and fuzzy degree we propose a new method for ranking fuzzy numbers. This method has the characteristics of generality, less calculation, high efficiency and it is especially tailed...
In traditional instruction, teacher always comprehend with learning situation of students from the assessment. They only got less information from the score or the answers that not enough to understand the learning efficiency of student. In our research, we integrate two methods to analyze students after they finished the exam. First, S-P chart could classify the learning types for each student. Second,...
We propose a CBR-based clustering mechanism (CBR-C) approach to provide an effective cost estimation for software project development. The object of CBR-C approach is to reduce estimation error and time and try to assist managers easily figure out estimation process. We use clustering method to index cases for finding optimal set of features used to help managers find out important features. For a...
We propose a hybrid approach of support vector regression, genetic algorithm, and seasonal moving window to explore seasonality effect for the stock indexes in three developed and one emerging markets using daily prices from 1996 to 2005. First, we utilize genetic algorithm to locate the approximate optimal combination of technical indicators. Then the property of nonlinearity and high dimensionality...
This paper proposes a method to find equilibria approximately using Shapley's labeling method for 2-person bimatrix games. It is well known fact that n-person finite games in strategic forms always have equilibria (Nash equilibria) in mixed strategies. A method for identifying equilibria is well-known for 2-person games with 2 ?? 2 bimatrices. Furthermore, the Shapley's label method is famous for...
An integrated approach on concept diagnosis is investigated in this study. Polytomous item relational structure (PIRS) is developed so that it is beyond the limitation of dichotomous items. Besides, student problem chart (S-P chart) is used to classify examinee into proper learning style. The integrated methodology of PIRS and S-P chart could display features of concept structures for each learning...
As one of the most important problems in data mining, many studies have been done on mining outliers. However, mining outliers in high-dimension has not been well addressed. In this paper, the concepts of reference radius and local deviation index are defined. A novel algorithm OMHKLD based on single-parameter-k local density in high-dimension for mining outliers is proposed. According to a new clustering...
The manufacturing quality of an aircraft structure greatly relies on the experienced technician with consistent riveting process. Generally, the cost for training an experienced technician is very high. However, manufacturing defects are still unavoidable due to the human errors. In this paper, a quality inspection system for riveting process by using neural network (NN) was developed. This inspection...
In this paper, we analyze fatigue of subjects based on photoplethysmogram (PPG) signal using dimensionality reduction techniques. Various kinds of features can be extracted from PPG, they, however, often represent different meanings. It means that some relationships between PPG signals can be defined based on different measures. Using these characteristics, the set of PPG signal measured in several...
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