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Chapter

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Title

Distinguishing Vagueness from Ambiguity in Dominance-Based Rough Set Approach by Means of a Bipolar Pawlak-Brouwer-Zadeh Lattice

Authors

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

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2017

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • dominance-based rough set approach
  • algebraic model
  • bipolar Pawlak-Brouwer-Zadeh lattice
  • vagueness
  • ambiguity
Abstract

EN In this paper, we present a new algebraic model for Dominance-based Rough Set Approach. Extending the Pawlak-Brouwer-Zadeh lattice introduced for indiscernibility-based rough set approach, the new model permits to distinguish between two kinds of imperfect information in case of ordered data: vagueness due to imprecision, and ambiguity due to coarseness typical to rough sets. To build the model we use the bipolar Brouwer-Zadeh lattice to represent a basic vagueness, and to introduce dominance-based rough approximations we define a new operator, called bipolar Pawlak operator. The new model we obtain in this way is called bipolar Pawlak-Brouwer-Zadeh lattice.

Pages (from - to)

81 - 93

DOI

10.1007/978-3-319-60840-2_6

URL

https://link.springer.com/chapter/10.1007/978-3-319-60840-2_6

Book

Rough Sets : International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3–7, 2017 : Proceedings, Part II

Presented on

International Joint Conference on Rough Sets IJCRS 2017, 3-7.07.2017, Olsztyn, Poland

Ministry points / chapter

20

Ministry points / conference (CORE)

20

Publication indexed in

WoS (15)

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