Midpoints for fuzzy sets and their application in medicine

  • Authors:
  • Juan J Nieto;Angela Torres

  • Affiliations:
  • Departamento de Análisis Matemático, Facultad de Matemáticas, Universidad de Santiago de Compostela, 15782 Santiago de Compostela, Spain;Departamento de Psiquiatrıa, Radiologıa y Salud Pública, Facultad de Medicina, Universidad de Santiago de Compostela, 15782 Santiago de Compostela, Spain

  • Venue:
  • Artificial Intelligence in Medicine
  • Year:
  • 2003

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Abstract

Using Kosko's hypercube, we identify a fuzzy set with a point in a unit hypercube. A non-fuzzy or crisp subset of a set is a vertex of the hypercube. We introduce some new ideas: the definition of the fuzzy segment joining two given fuzzy subsets of a set, the set of midpoints between those two fuzzy subsets, and the set of equidistant points from given points. We present some basic properties and relations between these concepts and provide a complete description of fuzzy segments and midpoints. In the majority of cases, there is no unique midpoint; one has an infinite set of possibilities to choose from. This situation is totally different from classical Euclidean geometry where, for two given points, there is a unique midpoint. We use the obtained results to study two sets of medical data and present two applications in medicine: the fuzzy degree of two concurrent food and drug addictions, and a fuzzy representation of concomitant causal mechanisms of stroke.