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A Fuzzy Approach to R&D Project Portfolio Selection

Christer Carlsson, Robert Fuller, Markku Heikkilä, Peter Majlender, A Fuzzy Approach to R&D Project Portfolio Selection. International Journal of Approximate Reasoning 44, 93–105, 2007.

Abstract:

A major advance in the development of project selection tools came with the application of options reasoning in the field of Research and Development (R&D). The options approach to project evaluation seeks to correct the deficiencies of traditional methods of valuation through the recognition that managerial flexibility can bring significant value to projects. Our main concern is how to deal with non-statistical imprecision we encounter when judging or estimating future cash flows. In this paper, we develop a methodology for valuing options on R&D projects, when future cash flows are estimated by trapezoidal fuzzy numbers. In particular, we present a fuzzy mixed integer programming model for the R&D optimal portfolio selection problem, and discuss how our methodology can be used to build decision support tools for optimal R&D project selection in a corporate environment.

BibTeX entry:

@ARTICLE{jCaFuHeMa07b,
  title = {A Fuzzy Approach to R&D Project Portfolio Selection},
  author = {Carlsson, Christer and Fuller, Robert and Heikkilä, Markku and Majlender, Peter},
  journal = {International Journal of Approximate Reasoning},
  volume = {44},
  publisher = {Elsevier},
  pages = {93–105},
  year = {2007},
  keywords = {Fuzzy number, Possibilistic mean, Possibilistic variance, Real option valuation},
}

Belongs to TUCS Research Unit(s): Institute for Advanced Management Systems Research (IAMSR)

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