Abstract: The author developed a simulation model of evaluating efficiency of Multiple Launch Rocket System units firing that allows evaluating the effectiveness of shooting at a group of heterogeneous targets including sheltered and unsheltered manpower and armor, with a high degree of confidence, which is 93-95%. The article presents strategies for completing firing mission as well as general scheme of evaluating the efficiency of applying ground artillery fire and methodology of estimating efficiency of alternative solutions to individual fire missions for the various conditions of the combat situation. The system uses experimental and theoretical research method to calculate the index of the effectiveness of fire because some numerical characteristics used in theoretical method became available from experiments. The author identifies main factors affecting the performance indicators of Multiple Launch Rocket System units firing, common mistakes in preparations and characteristics of dispersion (shooting errors). It is proved, that the value of errors depends on the second moment, calculated relative to the point of location of the separate target or the center of group target, for which the preparations of firing data were held.

Abstract: The author analyzes the advantages of multi-dimensional logic data organization in survey information systems. Author proposes a conceptual model of the process of questioning in the information system, characterized by the presence of processing the results of expert evaluation during their multivariate analysis to decision-making. The author developed a mathematical model of data transformation from the source to relational database storage. Such a representation of multidimensional data model provides a reliable and compact storage in the complex information structures and the ability to highlight important information in the data processing, all of which increases the efficiency of processing expert information, and facilitates the design based on it adaptive, integrable and dynamic information system survey. To achieve the objectives the author uses the theory of information processes and systems, database theory, set theory, graph theory. The author developed a new structure of the data warehouse, based on the algebra of tuples, which increases the reliability and informativeness of the conclusions derived from the data of expert interviews, excluding processing semantically equivalent information and reducing the number of empty values presented in tables hypercubes. The proposed structure of the data warehouse enables to analyze unexpected data not covered by the survey plan, thereby increasing saturation resulting from the processing of expert information terminals.