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On Assessing Companies' Financial Performances by the Means of Weighting FCM Clustering

Francisco Augusto Alcaraz Garcia, Adrian Costea, On Assessing Companies' Financial Performances by the Means of Weighting FCM Clustering. In: Pham Dinh Tao Le Thi Hoai An (Ed.), Modelling, Computation, Optimization in Information System & Management Sciences, Hermes Science, 2004.

Abstract:

In this paper we introduce a modified version of fuzzy C-means (FCM) clustering technique in order to build clusters of companies as to their financial performances. The most important telecommunication companies are analyzed. The dataset consists of 88 companies, the time span being 1995-2001. Our implementation overcomes FCM and previously reported SOM clustering techniques in terms of pattern allocation. Moreover, the use of linguistic variables to model the financial ratios gives our technique a better explanatory power over the other two.

BibTeX entry:

@INPROCEEDINGS{inpAlCo04a,
  title = {On Assessing Companies' Financial Performances by the Means of Weighting FCM Clustering},
  booktitle = {Modelling, Computation, Optimization in Information System & Management Sciences},
  author = {Alcaraz Garcia, Francisco Augusto and Costea, Adrian},
  editor = {Le Thi Hoai An, Pham Dinh Tao},
  publisher = {Hermes Science},
  year = {2004},
}

Belongs to TUCS Research Unit(s): Data Mining and Knowledge Management Laboratory

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