Evaluating and Comparing Soft Partitions: an Approach Based on Dempster-Shafer Theory

IEEE In evidential clustering, cluster-membership uncertainty is represented by Dempster-Shafer mass functions. The notion of evidential partition generalizes other soft clustering structures such as fuzzy, possibilistic or rough partitions. In this paper, we propose two extensions of the Rand index...

Full description

Saved in:
Bibliographic Details
Main Authors: Denoeux T., Li S., Sriboonchitta S.
Format: Journal
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85021814934&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40349
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-40349
record_format dspace
spelling th-cmuir.6653943832-403492017-09-28T04:09:01Z Evaluating and Comparing Soft Partitions: an Approach Based on Dempster-Shafer Theory Denoeux T. Li S. Sriboonchitta S. IEEE In evidential clustering, cluster-membership uncertainty is represented by Dempster-Shafer mass functions. The notion of evidential partition generalizes other soft clustering structures such as fuzzy, possibilistic or rough partitions. In this paper, we propose two extensions of the Rand index for evaluating and comparing evidential partitions, called similarity and consistency indices. The similarity index is suitable for measuring the closeness of two soft partitions, while the consistency index allows one to assess the agreement, or lack of conflict, between a soft partition and the true hard partition. Simulation experiments illustrate some applications of these indices. 2017-09-28T04:09:01Z 2017-09-28T04:09:01Z Journal 10636706 2-s2.0-85021814934 10.1109/TFUZZ.2017.2718484 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85021814934&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/40349
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description IEEE In evidential clustering, cluster-membership uncertainty is represented by Dempster-Shafer mass functions. The notion of evidential partition generalizes other soft clustering structures such as fuzzy, possibilistic or rough partitions. In this paper, we propose two extensions of the Rand index for evaluating and comparing evidential partitions, called similarity and consistency indices. The similarity index is suitable for measuring the closeness of two soft partitions, while the consistency index allows one to assess the agreement, or lack of conflict, between a soft partition and the true hard partition. Simulation experiments illustrate some applications of these indices.
format Journal
author Denoeux T.
Li S.
Sriboonchitta S.
spellingShingle Denoeux T.
Li S.
Sriboonchitta S.
Evaluating and Comparing Soft Partitions: an Approach Based on Dempster-Shafer Theory
author_facet Denoeux T.
Li S.
Sriboonchitta S.
author_sort Denoeux T.
title Evaluating and Comparing Soft Partitions: an Approach Based on Dempster-Shafer Theory
title_short Evaluating and Comparing Soft Partitions: an Approach Based on Dempster-Shafer Theory
title_full Evaluating and Comparing Soft Partitions: an Approach Based on Dempster-Shafer Theory
title_fullStr Evaluating and Comparing Soft Partitions: an Approach Based on Dempster-Shafer Theory
title_full_unstemmed Evaluating and Comparing Soft Partitions: an Approach Based on Dempster-Shafer Theory
title_sort evaluating and comparing soft partitions: an approach based on dempster-shafer theory
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85021814934&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40349
_version_ 1681421793325219840