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FUZZY LOGISTIC REGRESSION FOR THE DETERMINANTS OF CHILD MORTALITY

Abstract:Infant Mortality Rate is a measure of the annual rate of death in children less than one year old and is a sensitive indicator of living and socio - economic conditions of individuals in a country. National Family Health Survey NFHS -3, (2005-06) is a large scale survey conducted every 6 years with respondents being ever married women in the age groups 15- 49 years and records survival status of infants, infant age at death in months along with socio-demographic factors like residence, religion, mother’s age, age at first marriage, gender of infant,birth order, and birth weight .In this paper the Infant survival time (IST) is categorised as IST ≤1 and INT≥1 and the possibilistic odds of survival expressed as a symmetric fuzzy number is modelled as a function of the determinnats of child mortality using fuzzy logistic regression ( Pourahmad etal (2011)).The model parameters are estimated using fuzzy linear regression approach by Tanaka etal (1982,1987) .The model is evaluated by a goodness of fit index.s

Keywords: Fuzzy logistic regression, Fuzzy number, NFHS -3(2005-06).

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S. SANTHANA LAKSHMI & R.GEETHA


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