Abstract
Resorting to mathematical modelling is very often the way to explain real world phenomena under investigation. However, in some case, the phenomenon complexity is so hard that building a mathematical model is an impossible or very difficult task. In those cases, some heuristic approaches can be used to deal both with missing information and the complexity. Moreover, some lack of knowledge exists and then the phenomenon cannot be deeply described with traditional quantitative tools, then only an incomplete model can be developed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Reference
Altaian, E.I. (1968). “Financial ratios, discriminant analysis and the prediction of corporate bankruptcy” The Journal of Finance 23, 589–609.
Altman E.I, Saunders A., (1997), “Credit risk Measurement: developments over the last 20 years ”, in Journal of Banking and Finance.
Bandermer H., Gottwald S. (1996) Fuzzy sets, fuzzy logic fuzzy methods. John Wiley & Sons New York.
Beaver W, (1967), “Financial Ratios as Predictors of Failure” in Journal of Accounting Research.
Becattini G., The Marshallian industrial district as a socio-economic notion, in Pyke F., Becattini G., G. Bojadziev, M. Bojadziev (1997). Fuzzy Logic for Business, Finance and Management, World Scientific Publishing co, Singapore.
Bruni S.-Facchinetti G.-Paba S.: (1999) “A Fuzzy Classification for the Definition of Industrial District” Proceedings of the 11th Italian Workshop on Neural Nets, Vietri-99. 408–413 Springer Press.
Bruni S.-Facchinetti G.-Paba S.: (1999) “A Fuzzy Algorithm for a Defintion of Industrial District” Advances in Fuzzy Systems and Intelligent Technologies, F. Masulli, R. Parenti, G. Pasi, Ed.s, 49–55 Shaker Publishing (NL
Brusco S., Paba S. (1997) Per una storia dei distretti industriali italiani dal secondo dopoguerra agli anni novanta, in Storia del capitalismo italiano Barca F. Donzelli eds., 265–333
Chiandotto, B. and MM. Gola(1999,). Questionario di base da utilizzare per l’attuazione di un programma per la valutazione della didattica da parte degli studenti, internet site of the murst,: http://www.murst.it/osservatorio/attivnuc.htm.
Dixit, A. and Pindyck, R., 1994. Investment under Uncertainty, Princeton NJ, Princeton University Press.
Facchinetti G.-Ghiselli Ricci R.-Muzzioli S.: (1998) “Note on ranking fuzzy triangular numbers”. International Journal of Intelligent Systems. Vol.13, 613–622 John Willey & Sons, Inc.
Facchinetti G.-Ghiselli Ricci R.: (1999) “A class of ranking functions for triangular fuzzy numbers”. Presented at NEU’ 99, Venezia 6-7 maggio 1999. Published on Economics & Complexity. 2000
Facchinetti G.-Mastroleo G.-Paba S.: (2000) “A fuzzy approach to the geography of industrial districts”; “Proceedings of the 2000 ACM Symposium on Applied Computing” Carrol J., Damiani E., Haddam H., Oppenheim D. Editors. ISBN: 1-58113-239-5, Vol.1 514–518.
Facchinetti G.-Bordoni S.-Mastroleo G.: (2000) Bank Creditworthiness using Fuzzy Systems: A Comparison with a Clossical Analysis Technique. In Risk Assesment and Management in Technology, Environment and Finance. Da Ruan, Fedrizzi M. e Kacprzyk J. Editors. Springer Verlag Press. Published in Fuzzy Applications and Library http:/www.fuzzytech.com.
Lalla M.-Facchinetti G.: (2000). Inferential fuzzy system for rating istruction. Economics & Complexity. Vol.2, n.3, pp.31–56.
Facchinetti G.-Mastroleo G.-Paba S.: (2000). A Fuzzy Approach for the Empirical Identification of Industrial Districts, on the web page Fuzzy Applications and Library http:/www. fuzzytech. com.
Facchinetti G.-Mastroleo G.: (2000) A fuzzy approach for granting personal credit. Proceedings of Third Spanish-Italian Meeting on Financial Mathematics. Bilbao 27-30 Aprile 2000
Magni C.-Facchinetti G.-Mastroleo G..A Proposal for Modelling Real Options through Fuzzy Expert Systems” on Proceedings ACM SAC 2001 Las Vegas 11-13 Marzo 2001..
Facchinetti G.-Magni C.-Mastroleo M-Vignola V. An application of fuzzy expert systems to strategic investments: The case of Florim S.p.a. In proceedings of Soft Computing And Intelligent System (SOCO 2001) June 26-29 Paisley Scotland (UK)
Facchinetti G.-Magni C.-Mastroleo M-Vignola V. Valuing strategic investment with a fuzzy expert system: an italian case. In proceedings of International Fuzzy System Association Fuzzyness And Soft Computing In The New Millenium (IFSA 2001), July 25-28 Vancouver Canada.
Facchinetti G.-Cosma S.-Mastroleo G.-Ferretti R A fuzzy credit rating approach for small firm creditworthiness evaluation in bank lending. An Italian case. In proceedings of The second International ICSC Congress on Computational Intelligence: Methods & Applications (CIMA 2001) Bangor, U.K., June 19-22,2001.
Foster, G. (1986), Financial statement analysis Englewood Cliffs
Golden R, Rosignoli C, Salcioli G, (1994), L’adozione di sistemi basati sulla conoscenza nell’area fidi degli enti creditizi. In Il Risparmio, n.2.
Hand, D.J. and M.J. Crowder (1996). Practical Longitudinal Data Analysis. Chapman & Hall, London Istat. (1995) Rapporto annuale. La situazione del Paese nel 1955, Roma, Istat,1996.
Istat-Irpet. (1986) I mercati del lavoro in Italia, in Quademi di Discussione, (Istat, Roma).
Lalla M.-Facchinetti G.: (2000). Scala di voto ed insiemi sfocati per valutare la didattica“ in Proc. Of Ingegnerizzazione del processo di produzione dei dati statistici” Firenze 9 Aprile 1999
Lalla M.-Facchinetti G-Mastroleo G. (2001) Evaluation of Teaching Activity through a Fuzzy System. In Proceedings, of Wim 2001 Vietri May 18-21-2001 Springer Verlag
Lalla M.-Facchinetti G-Mastroleo G. (2001) A fuzzy expert system for the evaluation of University efficiency: the teaching activity. In Proceddings of IFAC Symposium on modelling and Control of Economic Systems Klagenfurt September 6-8. 2001
Lander, D.M. and Pinches, G.E., 1998. Challenges to the Practical Implementation of Modeling and Valuing Real Options, The Quarterly Review of Economics and Finance, vol.38, Special Issue, 537–567.
Magni, C.A., 1998. Aspetti quantitativi e qualitativi nella valutazione di un’opzione di investimento, Finanza, Marketing e Produzione, 3,123–149.
Marshall A., (1980) Principles of Economics, Macmillan, London
Micalizzi, A. and Trigeorgis, L., 1999. Real Options Applications, Proceedings of the first Milan international workshop on Real Options, EGEA.
Kasabov N.K. (1996) Foundations of Neural Networks, Fuzzy Systems, and Knoledge Engineering. MIT Press.
Porter, M.E., 1980. Competitive Strategy, The Free Press.
Pyke F., Beccattini G. Sengenbergher W., (1990). Industrial Districts and inter-firm cooperation in Italy, International Institute for Labour Studies, Geneva
Ray, J.J. (1990). Acquiescence and Problems with Forced-choice Scales. Journal of Social Psychology, 130 (3), pp. 397–399.
Sengenberger W. (Eds), Industrial districts and inter-firm cooperation in Italy, Geneva, International Institute for Labour Studies, 1990.
Schuman H., Presser S. (1996). Questions and Answers in Attitude Surveys: Experiments on Question Form, Wording, and Context; Sage Publications, Thousand Oaks, CA.
von Altrock C. (1997). Fuzzy Logic and neurofuzzy applications in business and finance. Prentice Hall.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2002 Springer Science+Business Media New York
About this chapter
Cite this chapter
Facchinetti, G. (2002). Fuzzy Expert Systems: Economic and Financial Applications. In: Sołdek, J., Pejaś, J. (eds) Advanced Computer Systems. The Springer International Series in Engineering and Computer Science, vol 664. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-8530-9_1
Download citation
DOI: https://doi.org/10.1007/978-1-4419-8530-9_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-4635-7
Online ISBN: 978-1-4419-8530-9
eBook Packages: Springer Book Archive