Clinical Pure Types as a Fuzzy Partition

Authors:
  • MWMax A. Woodbury
    Max A. Woodbury
  • JCJonathan Clive
    Jonathan Clive

Abstract
This paper discusses the applicability of the ideas of fuzzy sets and grades of membership to problems encountered in the quantification of clinical (i.e., diagnostic and prognostic) judgment. The methods of constrained maximum likelihood are used to derive consensus estimates of grades of membership given a set of categorical data and an a priori set of specified pure types. A numerical example is given.

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