Abstract
Technology management in complex ecosystems requires advanced technology assessment tools. Data Envelopment Analysis (DEA) is a powerful tool for a multi-criteria comparative performance assessment of different objects (Decision Making Unit — DMU) in the same class. However, the DEA method is capable of adequately differentiating DMUs only when the number of analysed criteria is a few times less than the number of DMUs. Application of DEA in technology assessment requires prior data redundancy reduction due to the multiplicity of technology assessment criteria. The literature suggests various approaches to limiting the cardinality of the criteria sets for the performance analysis using the DEA method. One of the popular approaches is to create synthetic criteria by means of the Principle Component Analysis (PCA). This paper, in turn, proposes a sophisticated rough sets concept. Due to the nature of technology analysis, namely, a small number of objects and many criteria with linguistic values, the proposed approach based on the concept of rough sets seems to be appropriate.
Highlights
The primary goal of technology assessment is to identify technologies that can generate the highest economic and/or social benefits to prioritise future investments
Technology assessment is often based on a large dataset with vague and imprecise data due to the lack of information or human subjective judgment
The rough set theory can be successfully used to reduce the number of dimension criteria and to remove some duplicate, correlated information in complex technology assessment systems
Summary
The primary goal of technology assessment is to identify technologies that can generate the highest economic and/or social benefits to prioritise future investments. Technology assessment is a prospective activity that allows selecting the research and innovation projects which may translate into faster development of regions. Proper management of technologies is the basis for building a long-term competitive advantage, determining the ability to sustain development. The importance of the problem of proper prioritization of technology means that different approaches, methods and tools are being developed in the area of technology assessment [1,2,3]. The review of foresight projects shows the domination of quality methods (see: [10, 8, 10,11]). In the implemented foresight projects, one of the most frequently used methods was the Delphi method [12,13,14]
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