Journal of Information Management

1. The Development of Online and Ontological Quality Evaluation on UML Structural Design in Software Reverse Engineering: With a Focus on Coupling

陳仲儼 Chung-Yang Chen,徐子涵 Tzu-Han Hsu;
頁: 379-412
日期: 2019/10
關鍵字: software reverse engineering, ontology, class diagrams, coupling;
Keywords: software reverse engineering, ontology, class diagrams, coupling;
摘要: Purpose－This research is to develop a knowledge-based ontological system, abbreviated as OntREDQ, for online quality analysis on UML structural models in SRE. Design/methodology/approach－In terms of structure and concept, OntREDQ comprises a dom...

瀏覽次數: 25089 下載次數: 1476

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2. Prediction of Directional Classification Using Complex Neuro-Fuzzy Model

王慶豐;李俊賢;
頁: 413-450
日期: 2019/10
關鍵字: complex neuro-fuzzy;complex fuzzy set;feature selection;particle swarm optimization;recursive least squares estimator;
Keywords: complex neuro-fuzzy;complex fuzzy set;feature selection;particle swarm optimization;recursive least squares estimator;
摘要: Purpose-Facing the current international environment, investment has become a way of profit for many businesses and people, stocks are a common method of trading in this area, but stock price fluctuations have a wide range of influences, it is diffic...

瀏覽次數: 25413 下載次數: 557

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3. Multi-target Feature Selection and Time-series Forecasting

陳郁晴;李俊賢;
頁: 451-482
日期: 2019/10
關鍵字: multi-target feature selection;artificial neural networks (ANN);sphere complex fuzzy sets (SCFS);sphere complex neuro-fuzzy system (SCNFS);hybrid machine learning algorithm;
Keywords: multi-target feature selection;artificial neural networks (ANN);sphere complex fuzzy sets (SCFS);sphere complex neuro-fuzzy system (SCNFS);hybrid machine learning algorithm;
摘要: Purpose - Time series forecasting is a challenging research issue. In the past research, most of them were single-target forecasting. However, in the stock market, stocks will effect each other. Therefore, we hope to predict the stock price on multip...

瀏覽次數: 27223 下載次數: 532

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4. CNN-Based Neural Fuzzy Approach to Multi-Target Prediction Using Sphere Complex Fuzzy Sets

許敦盛;李俊賢;
頁: 483-511
日期: 2019/10
關鍵字: multi-target prediction;sphere complex fuzzy sets;convolution neural networks;fuzzy inference system;hybrid learning;
Keywords: multi-target prediction;sphere complex fuzzy sets;convolution neural networks;fuzzy inference system;hybrid learning;
摘要: Purpose-Time series prediction is a challenging issue. Most prediction methods in literature implement prediction for a single target at a time only. In this paper, our purpose is to design a novel approach for multi-target simultaneous prediction. D...

瀏覽次數: 27171 下載次數: 597

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