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Application of Fuzzy DEMATEL in Risks Evaluation of Knowledge-Based Networks

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  • M. Abbasi
  • R. Hosnavi
  • B. Tabrizi

Abstract

Developing new products has received much attention within the last decades. This issue can be highlighted for strategic innovations, in particular. Recently, knowledge-based networks have been introduced in order to facilitate the affair of transforming knowledge into commercial products which can be regarded as a set of research centers, universities, knowledge intermediaries, customers, and so forth. However, there is a wide range of risk factors that are liable to affect the chain performance. Hence, this paper aims to consider the most influencing criteria that can play a more significant role in achievements of such networks. To do so, DEMATEL has been applied to take the relationships between the risk factors into account. Moreover, fuzzy set theory has been utilized in order to deal with the linguistic variables. Finally, the most important factors are identified and their relations are determined.

Suggested Citation

  • M. Abbasi & R. Hosnavi & B. Tabrizi, 2013. "Application of Fuzzy DEMATEL in Risks Evaluation of Knowledge-Based Networks," Journal of Optimization, Hindawi, vol. 2013, pages 1-7, December.
    • Handle: RePEc:hin:jjopti:913467
    DOI: 10.1155/2013/913467
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    References listed on IDEAS

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    1. Abbas A. Kurawarwala & Hirofumi Matsuo, 1996. "Forecasting and Inventory Management of Short Life-Cycle Products," Operations Research, INFORMS, vol. 44(1), pages 131-150, February.
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    2. Kumar, Anil & Agrawal, Rohit & Wankhede, Vishal A & Sharma, Manu & Mulat-weldemeskel, Eyob, 2022. "A framework for assessing social acceptability of industry 4.0 technologies for the development of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

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