Abstract

Environmental friendliness gains increasing importance for people in constructing modern residential buildings. Wood is a natural polymer with unique properties that make it an excellent choice for the construction of environmentally-friendly new housing. New building technologies have significantly improved the performance of wood as a material. Modern software allows not only to get a 3D-visualization of the project, but to make the house strong and safe, save costs on construction, and reduce the build time of wooden houses. Currently, there are a large number of various software packages for wooden construction, so it may be a problem to choose the appropriate one based on the criteria of the required functionality and cost-effectiveness. Aim. This work aims at the development of a model intended to choose optimal wooden construction software according to many criteria, which will reduce the time of the scientifically grounded decision, and in such a way, increase the efficiency of a wooden house designing process. To achieve this goal, it is necessary to analyze the existing wooden construction software, to consider the criteria for selecting designing programs, to develop a model for scientifically grounded choice of software on many functional and cost criteria in the conditions of fuzzy information; and to provide an example of using this model has been developed. Methodology. A fuzzy multicriteria analysis of variants according to the Bellman-Zade scheme is used. Results. Modern building information technologies have expanded the possibilities of spatial planning of residential, working, shopping, entertainment, sports, and other areas of design. The model for the choice of wooden construction software that allows choosing software according to many functional and cost criteria in the conditions of fuzzy input information is presented. An example of using the developed model for the choice of wooden construction software is given. Practical value. The use of the developed model for wooden construction choice in the conditions of fuzzy information based on many functional and cost criteria will make the choice scientifically grounded.

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