International Journal of Intelligent Technologies and Applied Statistics (IJITAS) publishes high-quality and peer-reviewed research papers in all areas of intelligent technologies and Applied Statistics. The aspects of Applied Statistics oriented towards the emerging needs for extending statistical methods to handle new types of data in technologies, including spatial data, perception-based information and causal information, and the soft computing approaches such as fuzzy logic, neural networks, evolutionary computing, multivariate analysis, statistical learning theory as well as probabilistic optimization techniques are among the topics where a connection between statistics and intelligent decision-making seems fruitful for real-world applications.