Project selection with interval-valued fuzzy numbers

Christer Carlsson, Robert Fullér, József Mezei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

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.

Original languageEnglish
Title of host publication12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings
Pages23-26
Number of pages4
DOIs
Publication statusPublished - Dec 1 2011
Event12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Budapest, Hungary
Duration: Nov 21 2011Nov 22 2011

Publication series

Name12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings

Other

Other12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011
CountryHungary
CityBudapest
Period11/21/1111/22/11

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Information Systems

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    Carlsson, C., Fullér, R., & Mezei, J. (2011). Project selection with interval-valued fuzzy numbers. In 12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings (pp. 23-26). [6108505] (12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings). https://doi.org/10.1109/CINTI.2011.6108505