Journal of Japan Society for Fuzzy Theory and Systems
Online ISSN : 2432-9932
Print ISSN : 0915-647X
ISSN-L : 0915-647X
Moments Estimation by Fuzzy Observation Data in the Bivariate Case
Tetsuji OKUDAYukio KODONOKiyoji ASAI
Author information
JOURNAL FREE ACCESS

1990 Volume 2 Issue 3 Pages 415-428

Details
Abstract
In management and social systems which contain human factors, there exist many cases that data including the human vagueness are treated. In this paper, as the foundation of the analysis of the correlation between several kinds of fuzzy data the method estimating the bivariate moments of a population from fuzzy observation data is considered. It is usually desired that we get accurate observations as much as possible. However, in the treatment of the fuzzy data, it is reasonable to think that we observe the fuzzy events as the fuzzy interval data classified by fuzzy boundaries. Thus, in this paper, we define the fuzzy data using the concept of the probability of fuzzy events proposed by Zadeh and propose the method estimating the bivariate moments by the fuzzy data using the usual statistical calculation. Furthermore, the availability of the method is confirmed by the numerical example, the simulation and the simple observation experiments.
Content from these authors
© 1990 Japan Society for Fuzzy Theory and Intelligent Informatics
Previous article Next article
feedback
Top