Fuzzy Clustering Data Given in the Ordinal Scale

01/13/2017
by   Zhengbing Hu, et al.
0

A fuzzy clustering algorithm for multidimensional data is proposed in this article. The data is described by vectors whose components are linguistic variables defined in an ordinal scale. The obtained results confirm the efficiency of the proposed approach.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/18/2010

A Fuzzy Clustering Model for Fuzzy Data with Outliers

In this paper a fuzzy clustering model for fuzzy data with outliers is p...
research
05/18/2019

Ordinal Sums of Fuzzy Negations: Main Classes and Natural Negations

In the context of fuzzy logic, ordinal sums provide a method for constru...
research
02/17/2019

What is an Ordinal Latent Trait Model?

Although various polytomous item response models are considered to be or...
research
07/31/2019

A novel framework of the fuzzy c-means distances problem based weighted distance

Clustering is one of the major roles in data mining that is widely appli...
research
08/22/2021

Rainfall-runoff prediction using a Gustafson-Kessel clustering based Takagi-Sugeno Fuzzy model

A rainfall-runoff model predicts surface runoff either using a physicall...
research
04/13/2015

Fuzzy approaches to context variable in fuzzy geographically weighted clustering

Fuzzy Geographically Weighted Clustering (FGWC) is considered as a suita...
research
04/06/2021

An approach utilizing negation of extended-dimensional vector of disposing mass for ordinal evidences combination in a fuzzy environment

How to measure the degree of uncertainty of a given frame of discernment...

Please sign up or login with your details

Forgot password? Click here to reset