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Patent Evaluation with a Numerical Real Option Method

Mikael Collan, Robert Fullér, József Mezei, Xiaolu Wang, Patent Evaluation with a Numerical Real Option Method. In: Mark Zhou (Ed.), 2nd International Conference on Management Science and Engineering, Advances in Artificial Intelligence 1, 685–690, Information Engineering Research Institute, 2011.

Abstract:

Numerical analysis for supporting patenting decisions is a difficult topic due to uncertainty and inaccuracy in estimating connected future cash-flows accurately. We present how the fuzzy pay-off method for real option valuation can be used to support patent evaluation and decision-making. We illustrate with a numerical two-phase case.

BibTeX entry:

@INPROCEEDINGS{inpCoFuMeWa11a,
  title = {Patent Evaluation with a Numerical Real Option Method},
  booktitle = {2nd International Conference on Management Science and Engineering},
  author = {Collan, Mikael and Fullér, Robert and Mezei, József and Wang, Xiaolu},
  volume = {1},
  series = {Advances in Artificial Intelligence},
  editor = {Zhou, Mark},
  publisher = {Information Engineering Research Institute},
  pages = {685–690},
  year = {2011},
  keywords = {patent valuation; real options; scenarios; fuzzy numbers},
}

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

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