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Applying fuzzy multi-objective linear programming to a project management decision with nonlinear fuzzy membership functions

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  • Ehsani, E.
  • Kazemi, N.
  • Olugu, E. U.
  • Grosse, E. H.
  • Schwindl, K.

Abstract

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  • Ehsani, E. & Kazemi, N. & Olugu, E. U. & Grosse, E. H. & Schwindl, K., 2017. "Applying fuzzy multi-objective linear programming to a project management decision with nonlinear fuzzy membership functions," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 76965, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:76965
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/76965/
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    File URL: http://link.springer.com/article/10.1007%2Fs00521-015-2160-0
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    Cited by:

    1. Adrian Sfichi & Eduard Zadobrischi & Narcisa Sfichi & Marian Bădeliță & Mihai Medrihan, 2022. "Utility of Sharing Economy Principles in the Development of Applications Dedicated to Construction Cost Estimation," Future Internet, MDPI, vol. 15(1), pages 1-26, December.
    2. Ran Etgar & Yuval Cohen, 2022. "Roadmap Optimization: Multi-Annual Project Portfolio Selection Method," Mathematics, MDPI, vol. 10(9), pages 1-23, May.

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