Investment prioritizing in high tech industries based on SWARA-COPRAS approach

By Sarfaraz Hashemkhani Zolfani, M. Bahrami. 2014

160 citations recorded by the source corpus.

AbstractOne of the symbols of developed countries is high tech industries. High tech industries have a large margin. One of the priorities of developing countries is the progress in this type of industries. The decisions about priority of developing an industry are so hard that seems it should be seen from different perspectives. This research is focused on decision and policy making in priority of high tech industries in Iran. Two MCDM methods are applied in this research for decision making in this area. SWARA for evaluating and weighting criteria and COPRAS for evaluating and ranking alternatives are applied. Eleven experts from different fields participated in this research to make decision with SWARA and COPRAS. Four high tech industries including Biomedical Micro Electromechanical Systems (BioMEMS), Nano Technology, Biotechnology, and Biomedical Engineering were selected for this research. These industries were selected based on the potential of Iran. Final result shows that Nanotechnology is at the...

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/be233b35d915dbda55a2932baacbbc37fa54ce22

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In Management Science and Operations Research

Citations in the corpus

A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments (2017, methodology): “Hashemkhani Zolfani and Bahrami [187], ranked the high tech industries by employing SWARA, in this paper SWARA was used for evaluating and weighting the criteria, although; the results yielded by COPRAS method show that Nano Technology and Biotechnology were the first and second high tech in Iran.”
THE USE OF THE PIVOT PAIRWISE RELATIVE CRITERIA IMPORTANCE ASSESSMENT METHOD FOR DETERMINING THE WEIGHTS OF CRITERIA (2018, background): “References Aghdaie, M.H. Hashemkhani Zolfani, S. and Zavadskas, E.K., 2013a. Decision making in machine tool selection: An integrated approach with SWARA and COPRAS-G methods.”
Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS) (2015, background): “Hashemkhani Zolfani and Bahrami (2014) proposed SWARA-COPRAS for investment prioritizing in industries.”
Ecological efficiency assessment under the construction of low-carbon city: a perspective of green technology innovation (2021, background): “On the other hand, however, comparing these issues to MCDM models, there are many models such as the building of partial ideal functions (TOPSIS) (Opricovic and Tzeng 2004; Zeydan and Çolpan 2009), compromise functions (VIKOR) (Opricovic and Tzeng 2004), relative performance functions (SWARA) (Hash”