Causality in social theory via linguistic fuzzy logic

Causality in social theory via linguistic fuzzy logic I present a new approach to the study of causality in social theory using linguistic fuzzy logic as a framework. This approach differs from conventional analysis of causality on two fronts. First, all variables are considered to possess two degrees of freedom (or variation): a linguistic nuance value, which corresponds to what we conventionally refer to as interval or categorical value, and a linguistic truth value, which measures our confidence level in this nuance value. Second, combining this double fuzzification of variables with linguistic fuzzy logic I propose new tools for studying fuzzy causality. The linguistic fuzzy logic approach is illustrated through a re-examination of Skocpol’s (1979, States and social revolutions: a comparative analysis of France, Russia, and China. Cambridge University Press, Cambridge) theory of social revolution. Quality & Quantity Springer Journals

Causality in social theory via linguistic fuzzy logic

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Springer Netherlands
Copyright © 2011 by Springer Science+Business Media B.V.
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
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