Abstract

The main task of the management of any modern organization is to find competent and qualified employees, to inspire a common goal, to unite them so that achieve the highest economic and social results, survive in the difficult market, sometimes crisis conditions. Management of the strategy of the subject of economic activity is the intersection of sets of goals and resources of the enterprise. The study and processing of the initial data is a complex task and allows you to identify the most significant values, as well as the error of this value, to assess the reliability of the difference between two close values and establish the reliability of the functional relationship between the values. Personnel assessment in the ability to manage the strategy of the subject of economic activity is focused on the fact that the company provides services or produces products of the exact assortment and quality that will satisfy the needs of consumers. It should be noted that numerical methods, as a rule, are used in mathematical modeling of economic processes. The results of calculations in this case are compared with the original data and by the degree of their consistency judge about the quality of the chosen model. In order to reasonably draw conclusions about the compliance or non-compliance of the chosen transformation approach, it is necessary to carry out statistical processing of the data. In addition, the task of statistical processing of initial data represents an independent task, as it is very important when a management decision is required. It should be noted that the higher the requirements to the raw data, the more complex the methods of resource estimation become. Thus, the more well-designed processing of the input data in some cases allows to identify and partially eliminate calculation errors, may be more effective than the use of specially developed programs. The work analyzes and proposes a method of personnel evaluation in the system of managing the strategy of the subject of economic activity in the market of insurance services, which includes four stages: model creation, creation of the functions of affiliation, formation of a fuzzy deduction system based on the Mamdani algorithm, formation of the knowledge base of the system.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call