A generalized uncertainty function and fuzzy modeling

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1 Scopus citations

Abstract

In this paper, a new hypothesis concerning the relationship between fuzzy truth values and probabilities is put forward. According to the hypothesis, the possibility distribution function and probability density function are not independent mathematical entities, but only different forms of a generalized uncertainty function.

Original languageEnglish
Title of host publicationMedical Data Analysis - 2nd International Symposium, ISMDA 2001, Proceedings
EditorsJose Crespo, Victor Maojo, Fernando Martin
PublisherSpringer Verlag
Pages75-80
Number of pages6
ISBN (Electronic)3540427341, 9783540427346
DOIs
StatePublished - 1 Jan 2001
Event2nd International Symposium on Medical Data Analysis, ISMDA 2001 - Madrid, Spain
Duration: 8 Oct 20019 Oct 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2199
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Symposium on Medical Data Analysis, ISMDA 2001
Country/TerritorySpain
CityMadrid
Period8/10/019/10/01

Keywords

  • Fuzzy modeling in medicine and biology
  • Fuzzy sets
  • Generalized information theory of uncertainty
  • Possibility distribution function
  • Possibility theory
  • Probability
  • Probability density function

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