The purpose of the article is to assess the impact of the investment and innovation components on the econom-ic development of Ukraine regions using the taxonomy method. The proposed method allows determining the object state level in a general set of objects, and ordering the objects according to growth or decrease of the indicators. The article substantiates the necessity to assess the dynamics of the regional economic development level in order to identify the reserves and capacities for increasing profitability and efficiency of further activities. The integral indicator of the regions’ development level is calculated. The comparative analysis is carried out within the framework of the proposed model. The research results suggest that the proposed model ena-bles us to trace the causes of the negative phenomena occurrence in the activities of the regions, to prevent their occurrence, and to develop complex managerial influences to provide the state with a vector of positive development.

A multitude of techniques fall under the domain of Multi- Criteria Decision Making (MCDM) which is used to select the best alternative among the available ones. The objective of this paper is to compare some of these techniques with respect to the problem of selection of 3D printers, which is associated with multiple attributes. The weights of the criteria were determined using analytical network process (ANP). Next, the alternatives were ranked using three different MCDM techniques- 1.TOPSIS which ranks alternatives having the shortest distance to the ideal solution as well as the greatest distance from the negative-ideal solution 2. Deng’s Similarity based Approach where the most preferred alternative should have the highest degree of similarity to the positive ideal solution and the lowest degree of similarity to the negative-ideal solution and 3.PROMETHEE and GAIA. The solutions for each of these three cases were analyzed thoroughly, and reasons for any deviations were discussed.