Regularity in Vague Intersection Graphs and Vague Line Graphs

Fuzzy graph theory is commonly used in computer science applications, particularly in database theory, data mining, neural networks, expert systems, cluster analysis, control theory, and image capturing. A vague graph is a generalized structure of a fuzzy graph that gives more precision, flexibility...

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Bibliographic Details
Published in:Abstract and Applied Analysis 2014-01, Vol.2014 (2014), p.198-207-820
Main Authors: Akram, Muhammad, Yousaf, Muhammad Murtaza, Dudek, Wieslaw A.
Format: Article
Language:English
Subjects:
Colleges & universities
Fuzzy logic
Fuzzy sets
Graphs
Neural networks
Set theory
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Summary:Fuzzy graph theory is commonly used in computer science applications, particularly in database theory, data mining, neural networks, expert systems, cluster analysis, control theory, and image capturing. A vague graph is a generalized structure of a fuzzy graph that gives more precision, flexibility, and compatibility to a system when compared with systems that are designed using fuzzy graphs. In this paper, we introduce the notion of vague line graphs, and certain types of vague line graphs and present some of their properties. We also discuss an example application of vague digraphs.
ISSN:1085-3375
1687-0409
DOI:10.1155/2014/525389