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Ranking of different of investment risk in high-tech projects using TOPSIS method in fuzzy environment based on linguistic variables

Document Type : Research Paper

Authors

1 Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran.

2 Department of Industrial Engineering, Islamic Azad University, Central Tehran Branch, Tehran, Iran.

3 Allameh Tabatabaei University, Tehran, Iran.

Abstract

Examining the trend of the global economy shows that global trade is moving towards high-tech products. Given that these products generate very high added value, countries that can produce and export these products will have high growth in the industrial sector. The importance of investing in advanced technologies for economic and social growth and development is so great that it is mentioned as one of the strong levers to achieve development. It should be noted that the policy of developing advanced technologies requires consideration of various performance aspects, risks and future risks in the investment phase. Risk related to high-tech investment projects has a meaning other than financial concepts only. In recent years, researchers have focused on identifying, analyzing, and prioritizing risk. There are two important components in measuring investment risk in high-tech industries, which include identifying the characteristics and criteria for measuring system risk and how to measure them. This study tries to evaluate and rank the investment risks in advanced industries using fuzzy TOPSIS technique based on verbal variables.

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References
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Journal of Fuzzy Extension and Applications
Volume 2, Issue 3
September 2021
Pages 226-238
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