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Chapter

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Title

Rough Sets Meet Statistics - A New View on Rough Set Reasoning about Numerical Data

Authors

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

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2020

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • rough sets
  • statistical learning
  • neighborhood based rough sets
Abstract

EN In this paper, we present a new view on how the concept of rough sets may be interpreted in terms of statistics and used for reasoning about numerical data. We show that under specific assumptions, neighborhood based rough approximations may be seen as statistical estimations of certain and possible events. We propose a way of choosing the optimal neighborhood size inspired by statistical theory. We also discuss possible directions for future research on the integration of rough sets and statistics.

Date of online publication

07.07.2020

Pages (from - to)

78 - 92

DOI

10.1007/978-3-030-52705-1_6

URL

https://link.springer.com/chapter/10.1007/978-3-030-52705-1_6

Book

Rough Sets : International Joint Conference, IJCRS 2020, Havana, Cuba, June 29 – July 3, 2020 : Proceedings

Presented on

International Joint Conference IJCRS 2020, 29.06.2020 - 03.07.2020, Havana, Cuba

Ministry points / chapter

20

Ministry points / conference (CORE)

20

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