83 0

Uncertainty measurement for neighborhood based soft covering rough graphs with applications

Title
Uncertainty measurement for neighborhood based soft covering rough graphs with applications
Author
박춘길
Keywords
Soft set theory; Uncertainty measure; Soft graph; Soft covering rough graph; Information entropy; Granularity
Issue Date
2019-07
Publisher
SPRINGER-VERLAG ITALIA SRL
Citation
REVISTA DE LA REAL ACADEMIA DE CIENCIAS EXACTAS FISICAS Y NATURALES SERIE A-MATEMATICAS, v. 113, no. 3, Page. 2515-2535
Abstract
Soft set theory and rough set theory are two newer tools to discuss uncertainty. Soft graphs are a nice way to depict certain information. In order to discuss uncertainty in soft graphs, a new type of graphs called neighborhood based soft covering rough graphs is introduced. We have discussed the uncertainty measures associated with neighborhood based soft covering rough graphs such as roughness measure, entropy measure and granularity. Some important properties of these uncertainty measures are investigated and the relationships between such measures are established. These properties will help to understand the essence of uncertainty measurement and in measuring the quality of a decision rule.
URI
https://link.springer.com/article/10.1007%2Fs13398-019-00632-5https://repository.hanyang.ac.kr/handle/20.500.11754/152345
ISSN
1578-7303; 1579-1505
DOI
10.1007/s13398-019-00632-5
Appears in Collections:
COLLEGE OF NATURAL SCIENCES[S](자연과학대학) > MATHEMATICS(수학과) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE