Data di Pubblicazione:
2010
Abstract:
One of the main objectives of the European MUSING project is to design and test software
tools in order to support the activities of small and medium sized businesses. In this paper we examine
financial risk management and, more specifically, the self-assessment of business plans. The role of
intangible assets is discussed, and we report on how intangible assets can be collected, how they can be
represented, taking into account their semantic relationships, and how they can be used to build an
analytical tool for business plans. The basic technology embedded in the tool is the construction of
classification trees, a well-known technique in inductive learning. We show how using knowledge of
intangible assets can improve the construction of the classifier, as proved by the testing carried out so far.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Bayesian causal map; classification trees; intangible assets; qualitative analysis.
Elenco autori:
Bellandi, Andrea
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