Calibration in fuzzy set QCA.

Description

Direct method of calibration in fuzzy set QCA.

Usage

1
2
directCalibration(x, fullin, fullout, crossover, infz = 0.953, 
                 outfz = 0.047, details = FALSE)

Arguments

x

an interval variable to be converted to fuzzy set score.

fullin

scalar indicating full membership.

fullout

scalar indicating the full non-membership.

crossover

scalar indicating cross over point.

infz

fuzzy set score of full membership, corresponding to fullin.

outfz

fuzzy set score of full non-membership, corresponding to fullout.

details

logical.

Details

Usually, the sum of infz and outfz should be 1. In Ragin (2008), infz is 0.953 and outfz is 0.047, which lead to the log odd of membership being (proximitely) 3.0 and -3.0.

Value

When details is TRUE, it the result is a data frame. Otherwise, the value is a numeric vector of fuzzy set score.

Author(s)

Ronggui HUANG

References

Ragin, Charles C. 2008. "Redesigning social inquiry: fuzzy sets and beyond." Chapter 5. Chicago: University of Chicago Press.

Examples

1
 directCalibration(Lipset_fs$Developed,800,300,550)