A Framework to Analyze Data on Homelessness, Poverty and Migration Using Fuzzy Cognitive Modeling

Rahat Naeem, Nigel Walford, Carol Kauppi and Henri Pallard

No wr6va, SocArXiv from Center for Open Science

Abstract: This article develops a framework for studying homelessness, poverty and migration using Fuzzy Cognitive Modeling. The framework has been developed using data obtained from a survey of around 4000 respondents in five communities in northeastern Ontario, Canada. The intention was to develop a framework that could be applied in other communities where comparable sources of data are available. This framework can be used to perform sensitivity analysis as well as to develop index of poverty as discussed in this paper. The results suggest that this method provides a robust approach to analyze complex and multivariate datasets related to homelessness, poverty and migration with variables that not only have interdependencies but are also not crisp.

Date: 2021-10-23
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:wr6va

DOI: 10.31219/osf.io/wr6va

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