Abstract
The complexity and speed of change in technological systems pose new challenges to technology management. Particular attention should be given to the issue of modelling the uncertainty of assessments and creating rules for determining the weights of the technology assessment criteria. The article aims to present a comprehensive hybrid technology prioritisation model based on the Data Envelopment Analysis and the concept of Rough Sets. The technology prioritisation process that uses the proposed model includes three consecutive stages: (i) the formulation of technology assessment matrix, (ii) the removal of the criteria redundancy based on indiscernibility relation defined in the Rough Set Theory, (iii) the development of rough variables and prioritisation using the DEA super-efficiency model. The combination of DEA and RS is a unique proposal to classify and rank objects based on the tabular representation of their conditional attributes under circumstances of uncertainty. Application of the developed hybrid model to the real data of the technology foresight project “NT FOR Podlaskie 2020” positively verified the assumed effects of its use. The obtained results allow a more objective and rational justification of the chosen technology, simplification of interpretation and better authentication of results from the perspective of decision-makers.
Highlights
The development of the research area related to technology assessment was necessitated by the growing need to support the currently existing decision-making processes and actively shape them as desired for the future while developing a scientifically-based technology strategy
The originality and innovation of the approach is based on the design of integration of Rough Sets (RS) and Data Envelopment Analysis (DEA) in a model that hasn’t been reported in the literature so far. It is a new proposal for technology assessment that addresses the need for multifaceted and objective assessment modelling the vague valuation of criteria by individual experts
The paper presents an original approach to technology prioritisation based on a combination of Rough Sets and Data Envelopment Analysis
Summary
The development of the research area related to technology assessment was necessitated by the growing need to support the currently existing decision-making processes and actively shape them as desired for the future while developing a scientifically-based technology strategy. In line with growing attention that is given to sustainability development in policymaking (Zavadskas et al, 2019), great interest is observed in procedures and practices aimed at directing the future technical-social change under conditions of uncertainty and complexity (Weber et al, 2019) The addressed research problem concerned the possibility to use the hybrid model combining the Data Envelopment Analysis (DEA) by Charnes, Cooper and Rhodes (1978) and Rough Set (RS) Theory by Pawlak (1982) methods in the process of technology prioritisation.
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