Decision-Making Analysis Based on Fuzzy Graph Structures
Joint Authors
Liu, Peide
Koam, Ali N. A.
Akram, Muhammad
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-30, 30 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-12
Country of Publication
Egypt
No. of Pages
30
Main Subjects
Abstract EN
A graph structure is a useful framework to solve the combinatorial problems in various fields of computational intelligence systems and computer science.
In this research article, the concept of fuzzy sets is applied to the graph structure to define certain notions of fuzzy graph structures.
Fuzzy graph structures can be very useful in the study of various structures, including fuzzy graphs, signed graphs, and the graphs having labeled or colored edges.
The notions of the fuzzy graph structure, lexicographic-max product, and degree and total degree of a vertex in the lexicographic-max product are introduced.
Further, the proposed concepts are explained through several numerical examples.
In particular, applications of the fuzzy graph structures in decision-making process, regarding detection of marine crimes and detection of the road crimes, are presented.
Finally, the general procedure of these applications is described by an algorithm.
American Psychological Association (APA)
Koam, Ali N. A.& Akram, Muhammad& Liu, Peide. 2020. Decision-Making Analysis Based on Fuzzy Graph Structures. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-30.
https://search.emarefa.net/detail/BIM-1197367
Modern Language Association (MLA)
Koam, Ali N. A.…[et al.]. Decision-Making Analysis Based on Fuzzy Graph Structures. Mathematical Problems in Engineering No. 2020 (2020), pp.1-30.
https://search.emarefa.net/detail/BIM-1197367
American Medical Association (AMA)
Koam, Ali N. A.& Akram, Muhammad& Liu, Peide. Decision-Making Analysis Based on Fuzzy Graph Structures. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-30.
https://search.emarefa.net/detail/BIM-1197367
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197367