Fuzzy Multiple Attribute Conditions in fsQCA: Problems and Solutions

@article{Veri2020FuzzyMA,
  title={Fuzzy Multiple Attribute Conditions in fsQCA: Problems and Solutions},
  author={Francesco Veri},
  journal={Sociological Methods & Research},
  year={2020},
  volume={49},
  pages={312 - 355}
}
  • Francesco Veri
  • Published 2020
  • Computer Science
  • Sociological Methods & Research
  • This article aims to clarify the fundamental aspects of aggregating fuzzy scores of conditions with multiple attributes in fuzzy set qualitative comparative analysis (fsQCA). Fuzzy multiple attribute conditions (FMACs) are conditions that are built using different types of concepts. FMACs are flexible conditions that express the ontological nature of the concept and deals with the causal heterogeneity. In fact, researchers can add a new attribute to a concept in order to consider the concept’s… CONTINUE READING
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