name
Orlov Alexander Ivanovich
Scholastic degree
•
•
•
Academic rank
professor
Honorary rank
—
Organization, job position
• Bauman Moscow State Technical University
Research interests
статистические методы, организационноэкономическое моделирование. Разработал новую область прикладной статистики — статистику объектов нечисловой природы
Web site url
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Current rating (overall rating of articles)
0
TOP5 coauthors
Articles count: 139
Сформировать список работ, опубликованных в Научном журнале КубГАУ

ORGANIZATIONALECONOMIC MODELING OF THE CONTROL PROBLEMS OF ECONOMIC UNITS
DescriptionThe management was established in Bauman Moscow State Technical University. The core of the economic theory is engineering economics, above all  product lifecycle management, controlling and organizationaleconomic modelling. The article illustrates how economists and managers can help teams to achieve innovation

PROBABILISTICSTATISTICAL METHODS IN KOLMOGOROV’S RESEARCHES
01.00.00 Physicalmathematical sciences
DescriptionFrom a modern point of view we have discussed Kolmogorov’s researches in the axiomatic approach to probability theory, the goodnessoffit test of the empirical distribution with theoretical, properties of the median estimates as a distribution center, the effect of "swelling" of the correlation coefficient, the theory of averages, the statistical theory of crystallization of metals, the least squares method, the properties of sums of a random number of random variables, statistical control, unbiased estimates, axiomatic conclusion of logarithmic normal distribution in crushing, the methods of detecting differences in the weathertype experiments

FUZZY SETS THEORY AS THE PART OF PROBABILITY THEORY
01.00.00 Physicalmathematical sciences
DescriptionOne of the key provisions of the system fuzzy interval mathematics  the claim that the theory of fuzzy sets is the part of the theory of random sets, thus, part of the probability theory. The article is devoted to the justification of this statement. Proved number of theorems that show that the fuzzy sets and the results of operations on them can be viewed as the projections of random sets and the results of the corresponding operations on them

SYSTEM FUZZY INTERVAL MATHEMATICS  A PROMISING AREA OF THEORETICAL AND COMPUTATIONAL MATHEMATICS
01.00.00 Physicalmathematical sciences
DescriptionThe article b riefly considers the prospects of some “points of growth” in the modern theoretical and computational mathematics: the numbers and sets, i.e. the base of modern mathematics; mathematical, pragmatic and computer numbers; from the usual sets  to unclear; the theory of fuzzy sets and “fuzzy doubling” of mathematics; the mix of fuzzy set theory to the theory of random sets; interval numbers as a special case of fuzzy sets; development of interval mathematics (interval doubling of mathematics); the system as a generalization of a multitude; the systematic generalization of mathematics and tasks emerging; the systematic generalization of operations on sets (on the example of the operation of the Boolean association); the systematic generalization of the concept of functions and functional dependencies participation; cognitive function; the matrix of knowledge as fuzziness with an estimated degree of truth of showing data systems arguments on the system of values of the function; modification of the method of least squares for the approximation of cognitive functions; development of the idea of the systematic generalization of mathematics in the field of information theory – system emergent information theory; information measures of the level of consistency; ratios of emergence; direct and opposite, direct and indirect logical reasoning with an estimated level of truth; intellectual system of Eidos X++ as a toolkit that implements the ideas of system of a fuzzy interval sum of mathematics

Description
For strategic and operational management tasks in the aerospace industry we use a variety of organizationaleconomic models and methods. Their set is called an organizationaleconomic support. In this article we discuss the approaches to the development of adequate organizationaleconomic support in the aerospace industry. In particular, we consider the problems of estimation of the effectiveness and management of innovationinvestment projects to create aviation and space technology

01.00.00 Physicalmathematical sciences
DescriptionCurrently, the majority of scientific, technical and economic studies use statistical methods developed mainly in the first third of the XX century. They constitute the content of common textbooks. However, mathematical statistics are rapidly developing in the next 60 years. In some situations there is a need of the transition from classical to modern methods. As an example, we discuss the problem of testing the homogeneity of two independent samples. We have considered the conditions of applicability of the traditional method of testing the homogeneity based on the use of Student's tstatistic, as well as more uptodate methods. We describe a probabilistic model of generation of statistical data in the problem of testing the homogeneity of two independent samples. In terms of this model the concept of "homogeneity" ("no difference"), can be formalized in different ways. High degree of homogeneity is achieved if the two samples are taken from one and the same population (absolute homogeneity). In some cases it is advisable to testing the coincidence of some characteristics of the elements of the sample  mathematical expectations, medians, variances, coefficients of variation, and others (testing the homogeneity of characteristics). To test the homogeneity of mathematical expectations is often recommended classic ttest. It is believed that the samples taken from a normal distributions with equal variances. It is shown that for scientific, technical and economic data the preconditions of twosample ttest usually are not performed. To test the homogeneity of mathematical expectations instead of ttest we have offered to use the CramerWelch test. We have considered the consistent nonparametric Smirnov and LehmannRosenblatt tests for absolute homogeneity

NEW PARADIGM OF ANALYSIS OF STATISTICAL AND EXPERT DATA IN PROBLEMS OF ECONOMICS AND MANAGEMENT
DescriptionThe article is devoted to the methods of analysis of statistical and expert data in problems of economics and management that are discussed in the framework of scientific specialization "Mathematical methods of economy", including organizationaleconomic and economicmathematical modeling, econometrics and statistics, as well as economic aspects of decision theory, systems analysis, cybernetics, operations research. The main provisions of the new paradigm of this scientific and practical field are developed by the author of this article in the 1980s during the creation of the AllUnion Statistical Association. The new paradigm is compared with the old (corresponding to the middle of XX century). Is summarized monographs, textbooks and manuals prepared under the leadership of the author of this paper in the XXI century according to the new paradigm

DO WE ALWAYS NEED A SUPPLIER’S QUALITY CONTROL?
DescriptionThe higher the level of quality achieved, the greater the control size  this is the paradox of the classical theory of statistical control. A possible way out is to move to the technical policy based on economic characteristics. Shifting control to the consumer may be economically profitable. We have considered two variants of technical policy  increasing lot size and replacing defective product units at the consumer

METHODOLOGY OF CONTROL PROCESSES MODELING IN SOCIOECONOMIC SYSTEMS
01.00.00 Physicalmathematical sciences
DescriptionThe article introduces the basic concepts of control theory. It has also noted the multicriteriality of real control problems. After reviewing the basic concepts of the theory of modeling we have analyzed postwar history and current status of mathematical modeling of control processes. We have also discussed the modeling methodology. As an example of a real model of the management process we have considered a model of allocation of time between the acquisition of knowledge and development of skills

A NEW APPROACH TO THE STUDY OF THE STABILITY OF CONCLUSIONS IN THE MATHEMATICAL MODELS
01.00.00 Physicalmathematical sciences
DescriptionWe have proposed the general scheme for studying the stability of the conclusions obtained by mathematical methods and models regarding tolerance deviations of the original data and background models. The concrete problems of stability are discussed: towards a change of data, its size and distributions, to allowable transformations measurement scales, to the temporal characteristics (time of start of the project, the planning horizon). Reducing the uncertainty can be conducted by changing the type of data, i.e. with the aid of the transition to nonnumerical data. The models of concrete management processes of industrial organizations are considered on the examples of stability characteristics of investment projects to change the discount factors and in models of inventory management to change in the coefficients of the model and batch size production