A system of expert-analytical methods for decision support at the design stage of multi-apartment residential buildings has been developed. The objective of the study is to economically evaluate the developed methods at the design stage of construction projects. Fuzzy logic is used as a mathematical basis for intelligent automated decision support systems. The method for assessing the investment attractiveness of residential complexes provides decision support based on the average area of ​​an apartment and the number of apartments per floor. The method for assessing the attractiveness of building a multi-storey residential building takes into account the class of housing, the height and area of ​​the building. An economic justification for the use of expert systems is provided and it is shown that calculating the construction attractiveness coefficient allows increasing the profit of a construction organization within 30% due to the use of empirical knowledge and specialized engineering solutions.

Keywords: intelligent automated system, design, multi-apartment residential building, economic assessment, investment attractiveness, fuzzy logic