International Journal of Computational Intelligence Systems

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Intelligent Concepts for the Management of Information in Workflow Systems
International Journal of Computational Intelligence Systems - - 2009
Georg Peters, Roger Tagg
Workflow systems are commonly used in industry, commerce and government. They provide computerized support for owners of repetitive, highly standardized business processes, with a means of controlling the execution of instances of those processes according to predefined process templates. However, many real-life business processes are characterized by various forms of unpredictability and uncertai... hiện toàn bộ
Determining Design Characteristics of Automobile Seats Based On Fuzzy Axiomatic Design Principles
International Journal of Computational Intelligence Systems -
Selçuk Çebı, Cengiz Kahraman
A New Adaptive and Self Organizing Fuzzy Policy to Enhance the Real Time Control Performance
International Journal of Computational Intelligence Systems - Tập 7 - Trang 582-594 - 2014
Rafik Lasri, Ignacio Rojas, Hector Pomares, Olga Valenzuela
In this paper, a temperature control in real time control process was presented using several control algorithms. A quantitative comparison based on the real power consumption and (the precision and the robustness) of these controllers during the same control process and under the same conditions will be done. The proposed Adaptive and Self Organizing Fuzzy policy has been able to prove its superi... hiện toàn bộ
A Novel Hybrid Autoregressive Integrated Moving Average and Artificial Neural Network Model for Cassava Export Forecasting
International Journal of Computational Intelligence Systems - Tập 12 - Trang 1047-1061 - 2019
Warut Pannakkong, Van-Nam Huynh, Songsak Sriboonchitta
This paper proposes a novel hybrid forecasting model combining autoregressive integrated moving average (ARIMA) and artificial neural network (ANN) with incorporating moving average and the annual seasonal index for Thailand’s cassava export (i.e., native starch, modified starch, and sago). The comprehensive experiments are conducted to investigate the appropriate parameters of the proposed model ... hiện toàn bộ
Predicting Cards Using a Fuzzy Multiset Clustering of Decks
International Journal of Computational Intelligence Systems - Tập 13 - Trang 1207-1217 - 2020
Alexander Dockhorn, Rudolf Kruse
Search-based agents have shown to perform well in many game-based applications. In the context of partially-observable scenarios agent’s require the state to be fully determinized. Especially in case of collectible cards games, the sheer number of decks constructed by players hinder an agent to reliably estimate the game’s current state, and therefore, renders the search ineffective. In this paper... hiện toàn bộ
A Comparative Study of Various Probability Density Estimation Methods for Data Analysis
International Journal of Computational Intelligence Systems - Tập 1 - Trang 188-201 - 2008
Alex Assenza, Maurizio Valle, Michel Verleysen
Probability density estimation (PDF) is a task of primary importance in many contexts, including Bayesian learning and novelty detection. Despite the wide variety of methods at disposal to estimate PDF, only a few of them are widely used in practice by data analysts. Among the most used methods are the histograms, Parzen windows, vector quantization based Parzen, and finite Gaussian mixtures. This... hiện toàn bộ
Clustering with Instance and Attribute Level Side Information
International Journal of Computational Intelligence Systems - Tập 3 - Trang 770-785 - 2010
Jinlong Wang, Shunyao Wu, Gang Li
Selecting a suitable proximity measure is one of the fundamental tasks in clustering. How to effectively utilize all available side information, including the instance level information in the form of pair-wise constraints, and the attribute level information in the form of attribute order preferences, is an essential problem in metric learning. In this paper, we propose a learning framework in wh... hiện toàn bộ
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
C. J. Carmona, P. González, M. J. Gacto, M. J. del Jesus
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
The Markov Model of Bean Optimization Algorithm and Its Convergence Analysis
International Journal of Computational Intelligence Systems - Tập 6 - Trang 609-615 - 2013
Xiaoming Zhang, Halei Wang, Bingyu Sun, Wenbo Li, Rujing Wang
By simulating the self-adaptive phenomena of plants in nature, a novel evolutionary algorithm named Bean Optimization Algorithm (BOA) was proposed in 2008. BOA can be used for resolving complex optimization problems. As BOA is a new optimization algorithm, theoretical analysis of the algorithm is still very preliminary. Research on the state transfer process and the convergence behavior of BOA is ... hiện toàn bộ
Evaluation of E-Learning Web Sites Using Fuzzy Axiomatic Design Based Approach
International Journal of Computational Intelligence Systems - Tập 3 Số 1 - Trang 28
Gülçin Büyüközkan, Jbid Arsenyan, Gürdal Ertek
Tổng số: 900   
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