
29
Fuzzy Information, Likelihood, Bayes’
Theorem, and Engineering Application
Reinhard Viertl
Vienna University of Technology
Owat Sunanta
Vienna University of Technology
CONTENTS
29.1 Intro ductio n . . . . . . . . .. . . . . . .. .. . . . . . .. . . .. . . . .. . . .. . . . .. .. . . . .. .. . 609
29.2 Probability Based on Densities . .. . . . .. .. .. . . . . . .. .. . .. . . .. . . . . . . 610
29.3 Fuzzy Data and Likeliho od Function . . . . . .. .. . . . . . .. . . .. . . . .. .. . 611
29.4 Generalized Bayes’ Theorem . . . . . .. .. . . . . . .. .. . . . . . .. . . .. . . . .. .. . 61 2
29.5 Example: Manual L apping of Valve Discs .. . .. . . ..