Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/68891
Title: Fuzzy logic and behavioral finance : an approach using fuzzy c-means algorithm
Authors: Aparecido Aguiar, Renato
Keywords: Fuzzy sets
Finance -- Case studies
Algorithms -- Case studies
Heuristic algorithms
Issue Date: 2012
Publisher: ISMASYSTEMS Scientific Research
Citation: Aparecido Aguiar, R. (2012). Fuzzy logic and behavioral finance: an approach using fuzzy c-means algorithm. International Journal of Finance, Insurance and Risk Management, 2(1), 1-7.
Abstract: The aim of this paper is to show the connection between the behavioral finance theory and fuzzy sets theory. Such connection, little explored by researchers, may produce new models for the financial market, leading to a better understanding of anomalies not explained by modern theory of finance. In this paper two techniques based on fuzzy sets, an clustering algorithm and the fuzzy transform shown incorporate, intrinsically, the heuristics of representativeness and anchoring of the behavioral finance theory
URI: https://www.um.edu.mt/library/oar/handle/123456789/68891
Appears in Collections:Volume 2, Issue 1, 2012

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