Goodman-Kruskal measure of association for fuzzy-categorized variables

Title:

Goodman-Kruskal measure of association for fuzzy-categorized variables

Creator:

Taheri, S. M. and Hesamian, Golamreza

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:8c4b74de-d949-4ccf-9e21-63c11de3aec5
uuid:8c4b74de-d949-4ccf-9e21-63c11de3aec5

Subject:

fuzzy frequency, fuzzy category, fuzzy Goodman-Kruskal statistic, fuzzy p-value, fuzzy significant level, and NSD index

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

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.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

[110]-122

Source:

Kybernetika | 2011 Volume:47 | Number:1

Harvested from:

CDK

Metadata only:

false