Identification of fuzzy blocks using sum distance metric

— In this paper, new concepts are introduced to enhance the process of block identification in fuzzy graphs using sum distance metric and special type of cycles, which is called a strongest strong cycle, locamin cycle. An Algorithm is developed for retrieving information from Big-Data using block id...

Full description

Saved in:
Bibliographic Details
Published in:Journal of intelligent & fuzzy systems 2019-01, Vol.36 (6), p.5203-5211
Main Authors: Sumathi, R., Sujatha, R., Sundareswaran, R.
Format: Article
Language:English
Subjects:
Algorithms
Data management
Information retrieval
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:— In this paper, new concepts are introduced to enhance the process of block identification in fuzzy graphs using sum distance metric and special type of cycles, which is called a strongest strong cycle, locamin cycle. An Algorithm is developed for retrieving information from Big-Data using block identification.
ISSN:1064-1246
1875-8967
DOI:10.3233/JIFS-17707