Fuzzy logic can solve many significant problems in economics moreeffectively than conventional mathematics. There are several problems ineconomics where understanding correlation between variables' requiresnot measures of uncertainty, but an estimate of the imprecision fromwhich they are determined. Given the qualitative nature of many of theissues that economists typically concern themselves with, a techniquethat permits graded categories and blurred boundaries is very appealing.One area that we have begun to investigate is the study of the impact oftechnological changes on labor market outcomes for women. We are tryingto address two questions in this context: what impact does technologicalchange have on women's participation in the labor force, and what effectdoes technology have on the degree of gender based occupationalsegregation. The paper presents the preliminary results of research intothese and related questions
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