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Project Selection with Interval-Valued Fuzzy Numbers

Christer Carlsson, Robert Fullér, József Mezei, Project Selection with Interval-Valued Fuzzy Numbers. In: Imre J. Rudas (Ed.), Proceedings of the Twelfth IEEE International Symposium on Computational Intelligence and Informatics, 23-26, IEEE Computer Society Press, 2011.

Abstract:

We introduce a possibilistic mean value for interval-valued fuzzy numbers as the arithmetic mean of the possibilistic mean values of its upper and lower fuzzy numbers. Furthermore, we suggest a ranking method for interval-valued fuzzy numbers based on their possibilistic mean value and show an application to capital budgeting decisions when the revenues from projects
are represented by interval-valued trapezoidal fuzzy numbers

BibTeX entry:

@INPROCEEDINGS{inpCaFuMe11b,
  title = {Project Selection with Interval-Valued Fuzzy Numbers},
  booktitle = {Proceedings of the Twelfth IEEE International Symposium on Computational Intelligence and Informatics},
  author = {Carlsson, Christer and Fullér, Robert and Mezei, József},
  editor = {Rudas, Imre J.},
  publisher = {IEEE Computer Society Press},
  pages = {23-26},
  year = {2011},
  keywords = {Possibilistic mean value, interval-valued fuzzy number},
}

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

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