@inbook{7678233d1c924341bd749f94777a7f9b,
title = "A New Approach to Fuzzy-Rough Nearest Neighbour Classification",
abstract = "In this paper, we present a new fuzzy-rough nearest neighbour (FRNN) classification algorithm, as an alternative to Sarkar{\textquoteright}s fuzzy-rough ownership function (FRNN-O) approach. By contrast to the latter, our method uses the nearest neighbours to construct lower and upper approximations of decision classes, and classifies test instances based on their membership to these approximations. In the experimental analysis, we evaluate our approach with both classical fuzzy-rough approximations (based on an implicator and a t-norm), as well as with the recently introduced vaguely quantified rough sets. Preliminary results are very good, and in general FRNN outperforms both FRNN-O, as well as the traditional fuzzy nearest neighbour (FNN) algorithm",
author = "Richard Jensen and Chris Cornelis",
year = "2008",
doi = "10.1007/978-3-540-88425-5",
language = "English",
isbn = "978-3-540-88423-1",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "310--319",
editor = "Chien-Chung Chan and Grzymala-Busse, {Jerzy W.} and Ziarko, {Wojciech P.}",
booktitle = "Rough Sets and Current Trends in Computing",
address = "Switzerland",
note = "Proceedings 6th International Conference on Rough Sets and Current Trends in Computing : RSCTC 2008 ; Conference date: 23-10-2008 Through 25-10-2008",
}