Decision Support with Support Vector Machinesin R & D Project Termination Decision

Abstract:

Research and development (R&D) project termination decision is an important and challenging task for organizations with R&D project management .Current research on R&D project management mainly focuses on project selection decisions. Very little research has been done on the termination decision of R&D projects .In this paper a support vector machines classifer for assisting managers in deciding whether to abandon an ongoing R&D project at various stages of R&D is presented. It has also shown by the modeling and pattern recognizing results in terms of termination decisions of fifty R&D projects that the method possesses reinforcement learning properties and universalized capabilities. With respect to modeling and termination decision of R&D project, which has the fact that the evaluation criteria are hardly ever determined by conventional approaches such as statistical analysis, the method is available.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 4098-4102
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.4098
• Online since: November 2011
• Authors: Jing Rong Dong, Yu Ke Chen
• Keywords: Project Termination, Research and Development (R&D), Support Vector Machine (SVM)

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