@inproceedings{d476d5c3b38142669d80818f05a279e0,
title = "Similarity-based classification with dominance-based decision rules",
abstract = "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. ",
keywords = "classification, similarity, case-based reasoning, dominance-based Rough Set Approach, decision rules",
author = "Marcin Szel{\c a}g and Salvatore Greco and Roman S{\l}owi{\'n}ski",
year = "2016",
month = sep,
doi = "10.1007/978-3-319-47160-0_32",
language = "English",
isbn = "978-3319471594",
volume = "9920",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "355--364",
editor = "V{\'i}ctor Flores and Fernando Gomide and Andrzej Janusz and Claudio Meneses and Duoqian Miao and Georg Peters and Dominik {\'S}l{\c e}zak and Guoyin Wang and Richard Weber and Yiyu Yao",
booktitle = "Rough Sets",
note = "International Joint Conference on Rough Sets, IJCRS 2016 ; Conference date: 07-10-2016 Through 11-10-2016",
}