SIMULATION OF THE INTELLECTUAL SUPPORT SYSTEM FOR DECISION-MAKING ASSESSMENT OF THE ENERGY EFFICIENCY OF ENCLOSURE STRUCTURES OF BUILDINGS USING LINGUISTIC VARIABLES

Abstract

According to the results of the analyss of the latest researches and publications of the existing methods of modeling the energy efficiency of the enclosing structures of buildings, a hypothesis is defined, which is based on the assumption of the need and possibility of improving the energy performance of the thermal insulation shell. The further development of the toolkit for evaluating organizational and technological solutions to ensure optimal energy efficiency of the thermal insulation shell involves taking into account the systemic impact of determining factors to minimize energy costs for installation, operation and recycling of building envelope construction materials.

Taking into account that expert data on the parameters of influence on the energy efficiency of fencing structures is characterized by quantitative and qualitative values, the theory of fuzzy sets and linguistic variables was used as a mathematical tool for modeling. The structure of a hierarchical neuron-fuzzy network is proposed, which corresponds to a tree of logical conclusion regarding the energy efficiency of fencing structures. A fuzzy matrix of knowledge about the relationship at the system level of the influence of determining factors on the energy efficiency of the enclosing structures of buildings has been developed. Factors influencing the energy efficiency of building envelope structures are considered as linguistic variables defined on the corresponding universal sets and evaluated by fuzzy terms, which are a linguistic variable.