The choice of fuzzy-logic operator depends on data type, not conceptual meaning.

Evidence

An obvious way to implement the family resemblance structure is to add up the expenditures of all the welfare state–related programs. This makes much more sense than using the maximum of the fuzzy logic OR. When Hicks uses dichotomous data he naturally adopts a family resemblance m-of-n rule. In other analyses of later time periods he uses total expenditure data. In both instances he uses family resemblance structures; the particular choice of family resemblance measure depends on data issues, not on a change in the conceptualization of the welfare state. — Gary Goertz, Social Science Concepts, 422

Categorization

• QUESTION: If operator choice is purely a data artifact, does the measurement cease to be comparable across the two analyses, or is the shared m-of-n structure what licenses comparison?
• XREF: Connects to the operationalization debates in the reader’s social-science methodology shelf — Sartori-style concept stretching and measurement validity arguments.