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Handbook of Research on Applied AI for International Business and Marketing Applications
Construction of a set of numbers based on the selected criteria defines the best and worst performing units/alternatives.
Published in Chapter:
Fuzzy Logic in Portfolio Selection: Selected Applications
Tihana Škrinjarić (University of Zagreb, Croatia)
DOI: 10.4018/978-1-7998-5077-9.ch010
Abstract
This chapter deals with possibilities of using fuzzy logic in the process of selecting stocks for the portfolio. Often investors observe specific cognitive uncertainty problems within the portfolio selection. This is where fuzzy logic can help with the final decision. After the description of the selected fuzzy logic concepts and comparison with other similar approaches, an empirical section provides detailed insights into the applications of such methodology. The analysis utilizes weekly data for the period January 2018 – April 2019 for 20 selected stocks in order to exhibit the usefulness of the observed approach in the portfolio selection.
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