Owa aggregation for attenuating missing data problems

Abstract:

Missing data and non response problem is a usual difficulty of particular concern in medical and social science data base. Dealing with non-response can be a difficult matter and it is important to apply adequate missing data methods to obtain valid inference. In this paper we analyse the performance of the data imputation and a new fuzzy imputation approach is proposed using ordered weighted average operators and linguistic quantifiers.

Año de publicación:

2015

Keywords:

• Linguistic quantifiers.
• Missing data
• OWA Operators

Fuente:

scopus