The quantity-quality debate in social sciences also concerns concept formation and operationalization. The first approach has strong naturalist assumptions, while the second one focuses on the historical specificity of concepts. The solution to overcome this divide would be finding a path which balances the two perspectives. In this article we argue that fuzzy set theory can be a helpful tool for concept formation and operationalization. The application of fuzzy set theory to concept formation and operationalization provides, first, the opportunity of looking at concepts as complex constructs made up of attributes logically interconnected one with the other and, second, of measuring them accordingly. Thus, after presenting our general argument, we show a theoretical and an empirical application of how to use fuzzy sets in concept formation and operationalization.
KvistJonRihouxBenoitGrimmHeike M.“Diversity, ideal types and fuzzy sets in comparative welfare state research”Innovative Comparative Methods for Policy Analysis. Beyond the Quantitative–Qualitative Divide2007HeidelbergSpringer Verlag167184
SchneiderCarsten Q.WagemannClaudius“Reducing complexity in qualitative comparative analysis (QCA): Remote and proximate factors and the consolidation of democracy”European Journal of Political Research200645751786
TeorellJanTorcalMarianMonteroJosè R.Van DethJan W.MonteroJosè R.WestholmAnders“Political participation: mapping the terrain”Citizenhip and Involvement in European Democracies. A Comparative Analysis2007London and New YorkRoutledge334357
For instance, Goertz (2006) uses the example of copper. This type of metal has an atomic structure that “produces” its reddish color, but we would be mistaken if we based the conceptualization upon this characteristic, which is the effect of the atomic structure and not a property itself.
See Komatsu (1992) for a review on cognitive approaches to concepts.