Generalized textural rough sets: Rough set models over two universes


ALTAY UĞUR A., DİKER M.

INFORMATION SCIENCES, vol.521, pp.398-421, 2020 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 521
  • Publication Date: 2020
  • Doi Number: 10.1016/j.ins.2020.02.044
  • Journal Name: INFORMATION SCIENCES
  • Journal Indexes: Science Citation Index Expanded, Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, MLA - Modern Language Association Database, zbMATH, Civil Engineering Abstracts, Library, Information Science & Technology Abstracts (LISTA)
  • Page Numbers: pp.398-421

Abstract

The aim of this paper is to reveal the useful aspects of textures for generalized approximation spaces in rough set theory. To this end, we present a counterpart of rough sets over two universes for textures. We compare the textural results with the well-known basic properties of rough sets given in the literature. First, we define a t-seriality and a t-inverse seriality in textures. We show that almost all basic results with respect to rough set model over two universes can be formulated using textures. On the way, we give new results and observations due to lower and upper approximation operators which are not taken into consideration by the researchers. Moreover, we also discuss the revised approximation operators and attribute oriented formal concept lattices in a textural framework. (C) 2020 Elsevier Inc. All rights reserved.