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A Type-2 Fuzzy TOPSIS-Based Methodology for the Analysis of Investment Decisions

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Progress in Intelligent Decision Science (IDS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1301))

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Abstract

From the beginning of human history to today, all of the decisions that human beings have made in order to make their assets more efficient and valuable can be considered as investment decisions. The aim is always to maximize the return. For this purpose, researchers have developed a wide range of investment theories and decision methodologies. Multi-Attribute Decision Making techniques have found effective use for mathematical optimization to obtain both theoretical and practical results for researchers. In recent years, many extensions have been proposed that use Type-2 fuzzy sets for classical mathematical optimization techniques to address the uncertainty in nature. In this study, we used the Type-2 fuzzy TOPSIS method for the evaluation of alternative stocks in an investment decision. And a case study for the stocks selected from Borsa Istanbul (BIST) is performed to show the applicability of the proposed methodology. The results of the case study are examined, and suggestions for future studies are provided.

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Acknowledgements

This research has been supported by Yildiz Technical University Scientific Research Projects Coordination Department. Project Number: FBA-2017-3073.

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Authors and Affiliations

  1. Department of Mathematical Engineering, Yildiz Technical University, Istanbul, Turkey

    Hale Gonce Kocken & Beyza Ahlatcioglu Ozkok

Authors
  1. Hale Gonce Kocken
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  2. Beyza Ahlatcioglu Ozkok
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Corresponding author

Correspondence to Hale Gonce Kocken .

Editor information

Editors and Affiliations

  1. Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey

    Tofigh Allahviranloo

  2. Faculty of Engineering and Natural Sciences, Bahçeşehir University, Istanbul, Turkey

    Soheil Salahshour

  3. Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey

    Nafiz Arica

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Kocken, H.G., Ozkok, B.A. (2021). A Type-2 Fuzzy TOPSIS-Based Methodology for the Analysis of Investment Decisions. In: Allahviranloo, T., Salahshour, S., Arica, N. (eds) Progress in Intelligent Decision Science. IDS 2020. Advances in Intelligent Systems and Computing, vol 1301. Springer, Cham. https://doi.org/10.1007/978-3-030-66501-2_29

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