C4.5: programs for machine learning
C4.5: programs for machine learning
An adaptive conjugate gradient learning algorithm for efficient training of neural networks
Applied Mathematics and Computation
Machine learning: neural networks, genetic algorithms, and fuzzy systems
Machine learning: neural networks, genetic algorithms, and fuzzy systems
Optimization of space structures by neural dynamics
Neural Networks
Combining GP operators with SA search to evolve fuzzy rule based classifiers
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Genetic Algorithms and Soft Computing
Genetic Algorithms and Soft Computing
Fuzzy clustering approach for accurate embedding dimension identification in chaotic time series
Integrated Computer-Aided Engineering
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
Pattern Recognition Letters
Improved spiking neural networks for EEG classification and epilepsy and seizure detection
Integrated Computer-Aided Engineering
A fundamental tool path planning problem for circles in layered manufacturing
Integrated Computer-Aided Engineering
Soft computing and cooperative strategies for optimization
Applied Soft Computing
KEEL: a software tool to assess evolutionary algorithms for data mining problems
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Evolutionary and Metaheuristics based Data Mining (EMBDM); Guest Editors: José A. Gámez, María J. del Jesús, José M. Puerta
A distributed learning algorithm for particle systems
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
A fuzzy logic based efficient energy saving approach for domestic heating systems
Integrated Computer-Aided Engineering
A novel frequency-dependent-model for electric conductors
Integrated Computer-Aided Engineering
Editorial: Hybrid learning machines
Neurocomputing
A model-checking-based approach to risk analysis in supply chain consolidations
Integrated Computer-Aided Engineering - Selected papers from the IEEE Conference on Information Reuse and Integration (IRI), July 13-15, 2008
Position Paper: Toward extended fuzzy logic---A first step
Fuzzy Sets and Systems
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Soft Computing in decision modeling
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Soft Computing in Decision Modeling; Guest Editors: Vicenc Torra, Yasuo Narukawa
Information Sciences: an International Journal
A soft computing method for detecting lifetime building thermal insulation failures
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
An incremental-encoding evolutionary algorithm for color reduction in images
Integrated Computer-Aided Engineering
A multi-criteria optimization framework for industrial shop scheduling using fuzzy set theory
Integrated Computer-Aided Engineering
Enhanced probabilistic neural network with local decision circles: A robust classifier
Integrated Computer-Aided Engineering
Multi-agent approach to power distribution network modelling
Integrated Computer-Aided Engineering - Multi-Agent Systems for Energy Management
A qualitative agent-based approach to power quality monitoring and diagnosis
Integrated Computer-Aided Engineering - Multi-Agent Systems for Energy Management
Neural visualization of network traffic data for intrusion detection
Applied Soft Computing
Hybridization of fuzzy GBML approaches for pattern classification problems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms
IEEE Transactions on Fuzzy Systems
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
A parallel genetic/neural network learning algorithm for MIMD shared memory machines
IEEE Transactions on Neural Networks
Integrated Computer-Aided Engineering
Evolutionary multi-objective optimization for mesh simplification of 3D open models
Integrated Computer-Aided Engineering
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A Manufacturing Execution System MES consists of high-cost, large-scale, multi-task software systems. Companies and factories apply these complex applications for the purposes of production management to monitor and track all aspects of factory-based manufacturing processes. Nevertheless, companies seek to control the production process with even greater rigour. Improvements associated with an MES involve the identification of new knowledge within the data set and its integration in the system, which implies a step forward to Business Process Management BPM systems, from which the users of an MES may gain relevant information, not only on execution procedures but to decide on the best scheduled arrangement. This work studies the data gathered from a real MES that is used in a plastic products factory. Several Artificial Intelligence and Soft Computing modelling methods based on fuzzy rules assist in the calculation of manufacturing costs and decisions over shift work rotas: two decisions that are of relevance for the improvement of the execution system. The results of the study, which identify the most suitable models to facilitate execution-related decision-making, are presented and discussed.