Classification with Nominal Data Using Intuitionistic Fuzzy Sets

Authors:
Eulalia Szmidt;Janusz Kacprzyk
Affiliations:
Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01---447 Warsaw, Poland;Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01---447 Warsaw, Poland
Venue:
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Year:
2007

Citing 7
Cited 0

Distances between intuitionistic fuzzy sets

Fuzzy Sets and Systems
Entropy for intuitionistic fuzzy sets

Fuzzy Sets and Systems
Unsupervised Learning with Mixed Numeric and Nominal Data

IEEE Transactions on Knowledge and Data Engineering
Induction of Decision Trees

Machine Learning
Rule extraction from decision trees with complex nominal data

Neural, Parallel & Scientific Computations
Intuitionistic Fuzzy Sets: Theory and Applications

Intuitionistic Fuzzy Sets: Theory and Applications
An application of intuitionistic fuzzy set similarity measures to a multi-criteria decision making problem

ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing

Quantified Score

Hi-index	0.01

Visualization

Abstract

The classical classification problem with nominal data is considered. First, to make the problem practically tractable, some transformation into a numerical (real) domain is performed using a frequency based analysis. Then, the use of a fuzzy sets based, and --- in particular - an intuitionistic fuzzy sets based technique is proposed. To better explain the procedure proposed, the analysis is heavily based on an example. Importance of the results obtained for other areas exemplified by decision making and case based reasoning is mentioned.