Abstract
In this paper we study the application of a fuzzy algebra to the task of classifying financial investments. A classification system is developed based on several financial indicators and on a fuzzy interpretation of them in terms of linguistic labels and triangular fuzzy numbers. A fuzzy algebra expressly created for clustering and its properties are then discussed. Finally an application example is given using data from a sample of firms whose securities are exchanged in the Boston Stock Exchange.
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© 1997 Springer-Verlag Berlin Heidelberg
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Loia, V., Scandizzo, S. (1997). A fuzzy-based approach to the analysis of financial investments. In: Martin, T.P., Ralescu, A.L. (eds) Fuzzy Logic in Artificial Intelligence Towards Intelligent Systems. FLAI 1995. Lecture Notes in Computer Science, vol 1188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62474-0_10
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DOI: https://doi.org/10.1007/3-540-62474-0_10
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