Currently displaying 1 – 2 of 2

Showing per page

Order by Relevance | Title | Year of publication

Goodman-Kruskal Measure of Association for Fuzzy-Categorized Variables

S. M. Taheri;  Gholamreza Hesamian — 2011

Kybernetika

The Goodman-Kruskal measure, which is a well-known measure of dependence for contingency tables, is generalized to the case when the variables of interest are categorized by linguistic terms rather than crisp sets. In addition, to test the hypothesis of independence in such contingency tables, a novel method of decision making is developed based on a concept of fuzzy p -value. The applicability of the proposed approach is explained using a numerical example.

Fuzzy empirical distribution function: Properties and application

Gholamreza Hesamian;  S. M. Taheri — 2013

Kybernetika

The concepts of cumulative distribution function and empirical distribution function are investigated for fuzzy random variables. Some limit theorems related to such functions are established. As an application of the obtained results, a method of handling fuzziness upon the usual method of Kolmogorov-Smirnov one-sample test is proposed. We transact the α -level set of imprecise observations in order to extend the usual method of Kolmogorov-Smirnov one-sample test. To do this, the concepts of fuzzy...

Page 1

Download Results (CSV)