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Ordering of Potential Collaboration Options

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Book cover Computational Collective Intelligence. Technologies and Applications (ICCCI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7654))

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Abstract

This work focuses on investigating the importance of evaluating the likelihood that a particular collaboration option is going to be profitable for a firm. Some collaboration options for a firm are first evaluated by experts on previously agreed upon criteria. Methods from rough set theory are afterwords employed for ordering of the agreed upon criteria with respect to their significance in predicting collaboration outcomes.

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Author information

Authors and Affiliations

  1. Stord/Haugesund University College, Bjørnsonsg. 45, 5528, Haugesund, Norway

    Sylvia Encheva

Authors
  1. Sylvia Encheva
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc-Thanh Nguyen

  2. University of Information Technology, National Vietnam University VNU-HCM, Ho Chi Minh city, Vietnam

    Kiem Hoang

  3. Gdynia Maritime University, Str. Morska 81-87,, 81-225, Gdynia, Poland

    Piotr Jȩdrzejowicz

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Encheva, S. (2012). Ordering of Potential Collaboration Options. In: Nguyen, NT., Hoang, K., Jȩdrzejowicz, P. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2012. Lecture Notes in Computer Science(), vol 7654. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34707-8_17

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  • DOI: https://doi.org/10.1007/978-3-642-34707-8_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34706-1

  • Online ISBN: 978-3-642-34707-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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