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Chapter

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Title

Similarity-Based Classification with Dominance-Based Decision Rules

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Year of publication

2016

Chapter type

paper

Publication language

english

Keywords
EN
  • classification
  • similarity
  • case-based reasoning
  • dominance-based rough set approach
  • decision rules
Abstract

EN We consider a similarity-based classification problem where a new case (object) is classified based on its similarity to some previously classified cases. In this process of case-based reasoning (CBR), we adopt the Dominance-based Rough Set Approach (DRSA), that is able to handle monotonic relationship “the more similar is object y to object x with respect to the considered features, the closer is y to x in terms of the membership to a given decision class X”. At the level of marginal similarity concerning single features, we consider this similarity in ordinal terms only. The marginal similarities are aggregated within induced decision rules describing monotonic relationship between comprehensive similarity of objects and their similarities with respect to single features.

Pages (from - to)

355 - 364

DOI

10.1007/978-3-319-47160-0_32

URL

https://link.springer.com/chapter/10.1007/978-3-319-47160-0_32

Book

Rough Sets : International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7–11, 2016 : Proceedings

Presented on

International Joint Conference on Rough Sets, IJCRS 2016, 7-11.10.2016, Santiago de Chile, Chile

Publication indexed in

WoS (15)

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