Articolo in rivista, 2010, ENG, 10.1080/16843703.2010.11673217
Turini F.; Baglioni M.; Bellandi A.; Furletti B.; Pratesi C.
Department of Computer Science, University of Pisa, Italy - CNR-ISTI, Pisa, Italy; Department of Computer Science, University of Pisa, Italy; Institution Market and Technologies, Lucca, Italy; Institution Market and Technologies, Lucca, Italy - CNR-ISTI, Pisa, Italy; MetaWare S.p.A, Pisa, Italy
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.
Quality technology & quantitative management (Print) 7 (1), pp. 35–50
Bayesian causal map, Classification trees, Intangible assets, Qualitative analysis
Turini Franco, Furletti Barbara
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 294473
Year: 2010
Type: Articolo in rivista
Creation: 2015-01-15 17:05:06.000
Last update: 2023-07-04 11:01:50.000
CNR authors
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.1080/16843703.2010.11673217
URL: https://www.tandfonline.com/doi/abs/10.1080/16843703.2010.11673217
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:294473
DOI: 10.1080/16843703.2010.11673217
ISI Web of Science (WOS): 000292996200005