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Iterative Dichotomiser Decision Tree for Risk Analysis in Innovation Management

Iterative Dichotomiser Decision Tree for Risk Analysis in Innovation Management

Hassan Arabshahi, Hamed Fazlollahtabar
Copyright: © 2016 |Volume: 5 |Issue: 4 |Pages: 11
ISSN: 2160-9624|EISSN: 2160-9632|EISBN13: 9781466693692|DOI: 10.4018/IJRCM.2016100102
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MLA

Arabshahi, Hassan, and Hamed Fazlollahtabar. "Iterative Dichotomiser Decision Tree for Risk Analysis in Innovation Management." IJRCM vol.5, no.4 2016: pp.16-26. http://doi.org/10.4018/IJRCM.2016100102

APA

Arabshahi, H. & Fazlollahtabar, H. (2016). Iterative Dichotomiser Decision Tree for Risk Analysis in Innovation Management. International Journal of Risk and Contingency Management (IJRCM), 5(4), 16-26. http://doi.org/10.4018/IJRCM.2016100102

Chicago

Arabshahi, Hassan, and Hamed Fazlollahtabar. "Iterative Dichotomiser Decision Tree for Risk Analysis in Innovation Management," International Journal of Risk and Contingency Management (IJRCM) 5, no.4: 16-26. http://doi.org/10.4018/IJRCM.2016100102

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Abstract

This paper proposes a three phase framework for classifying innovative activities based on the corresponding calculated risk. In the developed model, the innovative activities are collected from the literature and are classified into risk classes using decision tree and Iterative Dichotomiser 3 (ID3) algorithm. The resulting rules of the tree can be proper information resources for innovators, investors and predictors of the innovation and related sector to take the best decision about their innovation, investment and risk management.

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