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A Fuzzy Approach to Solving Multicriteria Investment Problems

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Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education

Abstract

Financial mangers have to make decisions under many restrictions and often have to deal with vague and imprecise information. In multicriteria problems, the best solution is sought in a set X of alternatives under certain constraints with rates of contentment μ t : X → [0,1]. Considering these rates as membership functions, the tools that fuzzy logic provides is adequate to solving a multicriteria investment problem. In this paper, a fuzzy approach for assessing the quality of an asset and making an investment decision based on this assessment is proposed.

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Author information

Authors and Affiliations

  1. Institute of Information Technologies, Bulgarian Academy of Science, Acad. G. Bonchev St., Block 2 1113 Sofia, Bulgaria

    Ivan Popchev

  2. Faculty of Engineering and Computer Science Studies, Burgas Free University, 62, San Stefano Str., 8000 Burgas, Bulgaria

    Penka Georgieva

Authors
  1. Ivan Popchev
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  2. Penka Georgieva
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Editor information

Editors and Affiliations

  1. Department of Civil Engineering, Polytechnic Institute of New York University, 333 Jay Street, Brooklyn, NY 11201, USA

    Magued Iskander

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© 2008 Springer Science+Business Media B.V.

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Popchev, I., Georgieva, P. (2008). A Fuzzy Approach to Solving Multicriteria Investment Problems. In: Iskander, M. (eds) Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8739-4_75

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  • DOI: https://doi.org/10.1007/978-1-4020-8739-4_75

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-8738-7

  • Online ISBN: 978-1-4020-8739-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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