… the relationships between the process parameters and the product quality. In this paper,
attempts are made to hybridize fuzzy set concepts with association rule mining to diagnose the …

… The authors applied a hierarchical genetic algorithm technique for learning and adapting
the dynamic rule according to the occupant behaviors. Zarandi and Ahmadpour (2009) …

… management and improvement of the major existing factors, like: quality, … manufacturing
production systems. The aim of this research is to utilize fuzzy c-means and Genetic Algorithm (…

… problems within the industrial and manufacturing fields is the tuning of … quality of a product
on the basis of experimental data. In these cases, the task is driven by the idea of improving …

… quality, researchers in this study used data mining techniques such as clustering, association
rules in service composition and genetic algorithm … As a direction for further research, fuzzy …

… In recent years, data mining methods have been widely used in quality analysis, … In his
method, a fuzzy system was encoded into a food source with appropriate string representation so …

… The accuracy of the proposed genetic algorithm is validated on small, medium and large …
the performance of the algorithm. Then, the implementation of the fuzzy crossover and mutation …

… Many researches have been devoted to the scheduling problems with uncertain processing
time. Both of triangular fuzzy number and trapezoidal fuzzy number were used to represent …

… This paper presents GIS-based new ensemble data mining techniques that involve an
adaptive neuro-fuzzy inference system (ANGIS) with genetic algorithm, differential evolution, and …

… the IoT systems based on fuzzy logic and visual information mining … algorithm of fuzzy system
and visual information mining … algorithm is better than the fuzzy system optimized by PSO …