Fuzzy Investment Assessment Techniques: A State-of-the-Art Literature Review


Kahraman C., Öztayşi B., Onar S. Ç., ÇEBİ S.

13th International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2022, and 12th World Congress on Information and Communication Technologies, WICT 2022, Virtual, Online, 15 - 17 December 2022, vol.649 LNNS, pp.649-657 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 649 LNNS
  • Doi Number: 10.1007/978-3-031-27499-2_60
  • City: Virtual, Online
  • Page Numbers: pp.649-657
  • Keywords: Circular fuzzy investment techniques, Hesitant fuzzy investment techniques, Intuitionistic fuzzy investment techniques, Neutrosophic investment techniques, Picture fuzzy investment techniques, Pythagorean fuzzy investment techniques, Spherical fuzzy investment techniques, Type-2 fuzzy investment techniques
  • Istanbul Technical University Affiliated: Yes

Abstract

Investment analysis is the process of choosing the most appropriate investment alternative that creates the highest profitability with minimal risk. Therefore, many analytic techniques have been proposed to the literature to minimize investment risks and maximize profits. Most of these methods are extended to fuzzy set theory and its extensions to cope with the uncertainties in the investment environment. The main objective of these studies is to provide an overview of fuzzy investment assessment techniques and their applications. For this, investment assessment techniques of engineering economics including present worth (PW) analysis, annual worth (AW) analysis, rate of return analysis (ROR), benefit/cost (B/C) ratio analysis, and payback period (PP) analysis are analyzed under fuzzy sets including type-2 fuzzy sets, hesitant fuzzy sets, intuitionistic fuzzy sets, Pythagorean fuzzy sets, spherical fuzzy sets, picture fuzzy sets, and circular fuzzy sets. The objective of this paper is to present a state-of-art literature review on fuzzy investment analysis techniques. This study addresses how fuzzy investment techniques can be an effective tool to utilize the subjective opinions of investors.