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Monitoring the Spatial Correlation Among Functional Data Streams Through Moran’s Index Read chapter Read first chapter

2019 | OriginalPaper | Chapter

New Fuzzy Composite Indicators for Dyslexia

Authors : Isabella Morlini, Maristella Scorza

Published in: New Statistical Developments in Data Science

Publisher: Springer International Publishing

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Abstract

Composite indicators should ideally identify multidimensional concepts that cannot be captured by a single variable. In this paper, we suggest a method based on fuzzy set theory for the construction of fuzzy synthetic indexes of dyslexia, using the set of manifest variables measured by means of reading tests. A few criteria for assigning values to the membership function are discussed, as well as criteria for defining the weights of the variables. An application regarding the diagnosis of dyslexia in primary and middle school in Italy is presented. In this application, the fuzzy approach is compared with the crisp approach actually used in Italy for detecting dyslexic children in compulsory school.

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Literature
1.
Baliamoune-Lutz, M.: On the Measurement of Human Well-Being: Fuzzy Set Theory and Sen’s Capability Approach, UNU-WIDER, Helsinki (2004)
2.
Baliamoune-Lutz, M., McGillivray, M.: Fuzzy well-being achievement in Pacific Asia. J. Asia Pac. Econ. 11, 168–177 (2006)CrossRef
3.
Cerioli, A., Zani, S.: A fuzzy approach to the measurement of poverty. In: Dagum, C., Zenga, M. (eds.) Income and Wealth Distribution, Inequality and Poverty, pp. 272–284. Springer, Berlin (1990)CrossRef
4.
Cheli, B., Lemmi, A.: A totally fuzzy and relative approach to the multidimensional analysis of poverty. Econ. Notes 24(1), 115–134 (1995)
5.
Chiappero Martinetti, E.: A multidimensional assessment of well-being based on sen’s functioning approach. Rivista Internazionale di Scienze Sociali 108(2), 207–239 (2000)
6.
Chien, C.-J., Tsai, H.-H.: Using fuzzy numbers to evaluate perceived service quality. Fuzzy Sets Syst. 116, 289–300 (2000)CrossRef
7.
Darestani, A.Y., Jahromi, A.E.: Measuring customer satisfaction using a fuzzy inference system. J. Appl. Sci. 9(3), 469–478 (2009)CrossRef
8.
Klir, G.J., Folger, T.A.: Fuzzy Sets, Uncertainity and Information. Prentice-Hall Int, London (1988)MATH
9.
Kwong, C.K., Bai, H.: A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment. J. Intell. Manuf. 13, 367–377 (2002)CrossRef
10.
Lazim, M.A., Osman, M.T.A.: A new Malaysian quality of life index based on fuzzy sets and hierarchical needs. Soc. Indic. Res. 94(3), 499–508 (2009)CrossRef
11.
Lorusso, M.L., Vernice, M., Dieterich, M., Brizzolara, D., Mariani, E., De Masi, S., D’Angelo, F., Lacorte, E., Mele, A.: The process and criteria for diagnosing specific learning disorderes: indications from the consensus conference promoted by the Italian national institute of health. Ann. Ist. Super. Sanita 50(1), 77–89 (2014)
12.
Morlini, I., Stella, G., Scorza, M.: A new procedure to measure children reading speed and accuracy in Italian. Dyslexia 48(2), 176–195 (2014)
13.
Morlini, I., Stella, G., Scorza, M.: Assessing decoding ability: the role of speed and accuracy and a new composite indicator to measure decoding skill in elementary grades. J. Learn. Disabil. 20, 54–73 (2015)
14.
Morlini, I.: New fuzzy methods for psychometric data. In: Greselin, F., Mola, F., Zenga, F. (eds.) Cladag 2017 Book of Short Papers, Universitas Studiorum. Mantova, Italy (2017)
15.
Sartori, G., Job, R., Tressoldi, P.E.: DDE-2 battery for the evaluation of dyslexia and disorthographya. Giunti, Florence (2007)
16.
Smithson, M., Verkuilen, J.: Fuzzy Sets Theory: Applications in the Social Sciences. Sage Publications, London (2006)CrossRef
17.
World Health Organization: ICD-10: International Statistical Classification of Diseases and Related Health Problems 10th Revsion. World Health Organization, Geneve (2008)
18.
19.
Zani, S., Berzieri, L.: Measuring customer satisfaction using ordinal variables: an application in a survey on a contact center. Stat. Appl. Italian J. Appl. Stat. 20(3–4), 331–351 (2008)
20.
Zani, S., Milioli, M.A., Morlini, I.: Fuzzy methods and satisfaction indices. In: Kenett, R.S., Salini, S. (eds.) Modern Analysis of Customer Surveys, pp. 439–455. Wiley, Chichester (2012)
21.
Zani, S., Milioli, M.A., Morlini, I.: Fuzzy composite indicators: an application for measuring customer satisfaction. In: Torelli, N., Pesarin, F., Bar-Hen, A. (eds.) Advances in Theoretical and Applied Statistics, pp. 241–251. Springer, Berlin (2013)
22.
Zimmermann, H.J.: Fuzzy Sets Theory and its Applications, 2nd edn. Kluwer, Boston (1993)
Metadata
Title
New Fuzzy Composite Indicators for Dyslexia
Authors
Isabella Morlini
Maristella Scorza
Copyright Year
2019
Book
New Statistical Developments in Data Science

Print ISBN: 978-3-030-21157-8

Electronic ISBN: 978-3-030-21158-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-21158-5_24

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