Expert assessment of energy efficiency of enclosures of building structures by fuzzy sets and linguistic variables

In accordance with the energy strategy of the European Union, a significant introduction of innovative technologies for decarbonization is planned through the implementation of energy-saving technologies to ensure optimal microclimate parameters in building premises. The relevant legislative framework of Ukraine regarding increasing the energy efficiency of the thermal insulation shell of buildings is dedicated to solving this problem. The development of tools for predicting the energy efficiency of external enclosing structures of buildings throughout their life cycle requires an assessment of the influence of determining parameters, which are characterized by quantitative and qualitative values. Determining the values ​​of these parameters experimentally is expensive and in many cases impossible with a given reliability. As a source of necessary information, it is advisable to use expert assessments of the influence of determining parameters on the predicted energy efficiency of the thermal insulation shell of buildings. To develop a component of the expert modeling system for intellectual support of organizational and technological decision-making on increasing the energy efficiency of building envelopes, the mathematical apparatus of fuzzy logic was used, namely, the method of constructing a system of fuzzy logical equations that characterize the degree of membership of an arbitrary element of universal sets to a fuzzy set. The method is based on the distribution of the degree of membership of the universal set, on which the fuzzy set is given, according to their ranks. The degrees of membership of parameters to a fuzzy set, which is defined by the corresponding term, were calculated using known formulas by composing the corresponding matrices. Fuzzy sets for various linguistic variables of determining parameters of the influence on the predicted energy efficiency of building envelopes are presented in the form of corresponding fuzzy logical equations. These equations characterize the surface of the membership of linguistic variables by the corresponding term to the objective function, namely energy consumption for capital construction or reconstruction, for operation and recycling.