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This paper follows in the study of the building of children' social interaction with parents using the capability approach. Parents' role in child well being is well documented by evolutionary psychology and psychoanalysis, here we will try to put in relation and to come to a measure of different factors that can affect its development. We propose a fuzzy expert system to measure this capability both at a theoretical and empirical level. The applied part of the paper use a data set based on a matched data source of ISTAT (Italian National Statistical Office 2008) multipurpose survey on family and on children condition in Italy to recover information on children’s education, the socio-demographic structure of their families, child care provided by relatives and parents according to the type of activities in which the children are involved, and Bank of Italy Survey on household income and wealth year 2008 (SHIW08) to control how family income may enter in the final evaluation This is one step of a more complex system allowing for a richer set of indicators and of dimension of child well being as well as for their interaction. This paper is included in an international project "Measuring Interaction between Quality of Life, Children Well-Being, Work And Public Policies" supported by Fondazione Cassa di Risparmio di Modena.
Czasopismo
Rocznik
Tom
Strony
13--25
Opis fizyczny
Bibloigr. 9 poz., rys., tab.
Twórcy
autor
autor
autor
autor
autor
- University of Modena and Reggio Emilia
Bibliografia
- [1] Sen A.K. Capability and Well-Being, in Nussbaum M., Sen A.K (Eds), The Quality of Life; Clarendon Press: pp.30-54, Oxford, 1993.
- [2] Addabbo T., Di Tommaso M.L., Facchinetti G. To what extent fuzzy set theory and structural equation modelling can measure functioningss? An application to child well being. Materiali di Discussione del Dipartimento di Economia Politica n.468, 2004.
- [3] Addabbo T., Facchinetti G., Mastroleo G. Capability and functionings. A fuzzy way to measure interaction between father and child, in Saeed K. Pejaś J. Mosdorf R. (eds.), Biometrics, Computer Security Systems and Artificial Intelligence Applications; Springer Science: pp 185-195, 2006.
- [4] Altrock C. Fuzzy Logic & Neuro fuzzy Applications in Business & Finance. Prentice Hall PTR: New Jersey, 1995.
- [5] Cheli B., Lemmi A. A totally fuzzy and relative approach to the multidimensional analysis of poverty, Economic Notes, 1, 115, 1995.
- [6] Chiappero Martinetti E. Standard of living evaluation based on Sen's approach: some methodological suggestions. Notizie di Politeia 12 (43/44), 37, 1996.
- [7] Kosko B. Fuzzy Systems as Universal Approximators. Proc. IEEE Int. Conf. On Fuzzy Systems, 1153-1162, 1992.
- [8] Wang L., Fuzzy systems are universal approximators. Proc. Of Int. Conf. On Fuzzy Engineering, pp 471-496, 1992.
- [9] Piegat A. Fuzzy Modelling and Control. Physica Verlag, New York, 1999.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-article-BPS3-0018-0002