Affiliation:
1. Faculty of Engineering Management, Bialystok University of Technology, Bialystok, Poland
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.
Publisher
Vilnius Gediminas Technical University
Cited by
8 articles.
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