International Journal of Computational Intelligence Systems
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Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD
International Journal of Computational Intelligence Systems - Tập 5 - Trang 355-367 - 2012
The main objective of subgroup discovery is to discover interesting and interpretable patterns with respect to a specific property. The use of evolutionary fuzzy systems provides good algorithms to approach this problem. In this sense, NMEEF-SD algorithm —one of the most representative evolutionary fuzzy systems for subgroup discovery— obtains precise and interpretable subgroups. However in the ma...... hiện toàn bộ
Lựa chọn phần mềm ERP phù hợp sử dụng mối quan hệ sở thích ngôn ngữ mờ tích hợp — phương pháp TOPSIS mờ Dịch bởi AI
International Journal of Computational Intelligence Systems - Tập 9 - Trang 433-449 - 2016
Do sự không chắc chắn cao của môi trường kinh doanh, độ phức tạp và đa dạng của các dự án hoạch định nguồn lực doanh nghiệp (ERP) và các tiêu chí đánh giá trái ngược nhau, việc lựa chọn phần mềm ERP phù hợp có thể được xem như một bài toán ra quyết định đa tiêu chí (MCDM). Trong số các phương pháp MCDM, phương pháp phân tích mức độ (EAM) đã được sử dụng trong nhiều ứng dụng nhờ vào sự đơn giản tro...... hiện toàn bộ
#ERP #phương pháp ra quyết định đa tiêu chí #phân tích mức độ #mối quan hệ sở thích ngôn ngữ mờ #Fuzzy TOPSIS
Weighting Under Ambiguous Preferences and Imprecise Differences in a Cardinal Rank Ordering Process
International Journal of Computational Intelligence Systems - Tập 7 - Trang 105-112 - 2014
The limited amount of good tools for supporting elicitation of preference information in multi-criteria decision analysis (MCDA) causes practical problem. In our experiences, this can be remedied by allowing more relaxed input statements from decision-makers, causing the elicitation process to be less cognitively demanding. Furthermore, it should not be too time consuming and must be able to actua...... hiện toàn bộ
DeepMCGCN: Multi-channel Deep Graph Neural NetworksAbstract Graph neural networks (GNNs) have shown powerful capabilities in modeling and representing graph structural data across various graph learning tasks as an emerging deep learning approach. However, most existing GNNs focus on single-relational graphs and fail to fully utilize the rich and diverse relational information present in real-world graph data. In ad... ... hiện toàn bộ
International Journal of Computational Intelligence Systems -
A Novel Approach to Selecting Contractor in Agent-based Multi-sensor Battlefield Reconnaissance Simulation
International Journal of Computational Intelligence Systems -
Retraction Note: Research on Feature Extraction and Diagnosis Method of Gearbox Vibration Signal Based on VMD and ResNeXt
International Journal of Computational Intelligence Systems - - 2024
Granular RBF NN Approach and Statistical Methods Applied to Modelling and Forecasting High Frequency Data
International Journal of Computational Intelligence Systems - Tập 2 - Trang 353-364 - 2009
We examine the ARCH-GARCH models for the forecasting of the bond price time series provided by VUB bank and make comparisons the forecast accuracy with the class of RBF neural network models. A limited statistical or computer science theory exists on how to design the architecture of RBF networks for some specific nonlinear time series, which allows for exhaustive study of the underlying dynamics,...... hiện toàn bộ
Voronoi Fuzzy Clustering Approach for Data Processing in WSN
International Journal of Computational Intelligence Systems -
Accuracy Evaluation of C4.5 and Naive Bayes Classifiers Using Attribute Ranking Method
International Journal of Computational Intelligence Systems - Tập 2 Số 1 - Trang 60
A Hybrid Crow Search and Grey Wolf Optimization Technique for Enhanced Medical Data Classification in Diabetes Diagnosis System
International Journal of Computational Intelligence Systems - Tập 14 - Trang 1-18 - 2021
Diabetes is an extremely serious hazard to global health and its incidence is increasing vividly. In this paper, we develop an effective system to diagnose diabetes disease using a hybrid optimization-based Support Vector Machine (SVM).The proposed hybrid optimization technique integrates a Crow Search algorithm (CSA) and Binary Grey Wolf Optimizer (BGWO) for exploiting the full potential of SVM i...... hiện toàn bộ
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