Evaluation of the Comfort of an Apartment Building Using Different Modeling Methods

This article investigates the comfortable living of future residents of a high-rise building using various mathematical methods, namely: 1. in recent years of the rapid development of information technologies, the interest of the general public of scientists has been aroused by the problems of intelligent management, and more precisely, the use of fuzzy modeling. Therefore, the use of these fuzzy sets in this work allows to solve and determine the most comfortable factor of living for future customers. But when developing this system, it was determined by experiment that the given indicators are not complete to a large extent, therefore the authors subsequently applied a fuzzy Petri net: a) a general scheme without taking into account the wishes of the future buyer; b) a general scheme taking into account the wishes of the future buyer. To build a fuzzy Petri net, the following indicators of comfort were applied: “neighborhood consideration”, “outside area consideration”, “house consideration”, “price formation”, “value fixation”. The next stage of the work was the systematic description of the network, and the fuzzy network was more clearly expanded with the help of chains, to determine the immediate fulfillment of the subjective wish. Taking into account the fact that each buyer has his own priorities regarding comfort, the authors of this study determined that it is not possible to take into account all possible options, so the decision was made to get acquainted with the evaluation of comfort using a genetic algorithm.