A model for assessing the consumer attractiveness of commercial real estate objects is described on the example of assessing the quality of sports and entertainment centers in the city of Perm. In the course of the study, a sociological survey was conducted to identify the factors that influence the choice of consumers of a sports and entertainment center to visit. The results of the survey became the information base for the model of assessing the quality and consumer attractiveness of the studied objects. Two approaches to the definition of quality were compared – the mechanism of complex assessment and the qualimetric model.

Keywords: commercial real estate management, sports and entertainment centers, integrated assessment mechanisms, management efficiency, quality of commercial real estate, consumer attractiveness, probability of choice, decision trees, convolution matrices

When designing security systems for buildings and structures, the technical specification specifies the required characteristics of the equipment. On the basis of the technical specification, a certain number of solutions (projects) from different designers and suppliers can be formed. These projects may differ in equipment, method of installation and maintenance, different degrees of functional reserve and the possibility of expanding the system if necessary. At this stage of equipment selection, the engineer is faced with the problem of choosing one optimal option from the presented subset, since all projects (solutions) meet the requirements of the technical specification. The presented algorithm for selecting the elements of the security system of real estate objects is based on the construction of a complex assessment model. The characteristics by which the equipment will be compared are determined. The degree of importance of each characteristic is determined. A comprehensive assessment of each alternative is calculated. The proposed approach avoids the negative consequences of subjectivism arising from the influence of the external environment.

Keywords: multi-criteria task, algorithm, selection task, security system, ranking, design, terms of reference, criterion, complex evaluation, model