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The two-volume set LNAI 7894 and LNCS 7895 constitutes the refereed complaints of the twelfth foreign convention on synthetic Intelligence and smooth Computing, ICAISC 2013, held in Zakopane, Poland in June 2013. The 112 revised complete papers provided including one invited paper have been conscientiously reviewed and chosen from 274 submissions. The fifty six papers integrated within the moment quantity are prepared within the following topical sections: evolutionary algorithms and their purposes; facts mining; bioinformatics and scientific purposes; agent platforms, robotics and keep watch over; man made intelligence in modeling and simulation; and diverse difficulties of synthetic intelligence.
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Extra resources for Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part II
Inference Rules Set Correlation Xcal is Low Correlation Xcal is Medium Correlation Xcal is High RMSEP is Low Correlation Xcal Ycal is Low Correlation Xcal Ycal is Medium Correlation Xcal Ycal is High Medium Good Good Medium Good Good Poor Poor Medium Correlation Xcal is Low Correlation Xcal is Medium Correlation Xcal is High RMSEP is Medium Correlation Xcal Ycal is Low Correlation Xcal Ycal is Medium Correlation Xcal Ycal is High Medium Good Good Medium Medium Good Poor Poor Poor Correlation Xcal is Low Correlation Xcal is Medium Correlation Xcal is High RMSEP is High Correlation Xcal Ycal is Low Correlation Xcal Ycal is Medium Correlation Xcal Ycal is High Poor Medium Medium Poor Medium Poor Poor Poor Poor In order to preserve the diversity in the population we used the Crowding Distance Method proposed by Deb  with some changes to apply in the results of the fuzzy system.
To perform this operation we must know possible malfunctions and optimal work conditions. To do this we may apply the knowledge that comes from human experts or our previous experience. In many projects this is a main source which determines the prototypes. However, usually it is insuﬃcient. The best way is to test the system in practice or perform computer simulations. First way may be vary long in time and cost a lot. Therefore best solution is to use computer. The question is, which method to use?
A solution is called non-dominated, Pareto optimal, if none of the objective functions can be improved in the value without impairment of some of the other objective values [9,2]. 3 Fuzzy System for Variable Selection Fuzzy System is an artiﬁcial intelligent technique supported by the set and logical theory with the objective of simulating the human reasoning. A. Zadeh  to provide a mathematical tool for processing of approximate information. Recently, several works and applications of fuzzy systems with genetic algorithm have been proposed such as the studies of Hsiao  and Augugliaro .