Affiliations: [a] College of Education, Changchun Normal University, Changchun, China
| [b] Department of Computer Science and Engineering, Saroj Mohan Institute of Technology, Hooghly, India
| [c] VNU Information Technology Institute, Vietnam National University, Hanoi, Vietnam
Correspondence:
[*]
Corresponding author. Le Hoang Son, VNU Information Technology Institute, Vietnam National University, Hanoi, Vietnam. E-mail: sonlh@vnu.edu.vn.
Note: [**] This research is dedicated to Prof. Bui Cong Cuong on the 6-year-anniversary of Picture Fuzzy Set.
Abstract: Picture fuzzy graph (PFG) is an extended version of intuitionistic fuzzy graph (IFG) to model the uncertain real world problems, in which IFG may fail to model those problems properly. PFG is more precise, flexible and compatible than IFG to deal the real-life scenarios which consists of information these types: yes, abstain, no and refusal. The main focus of our study is to present the concept of isomorphic PFG, regular PFG (RPFG) and picture fuzzy multigraph. In this paper, we present the notation of RPFG. Many different types of RPFGs such as regular strong PFG, regular complete PFG, complete bipartite PFG and regular complement PFG are introduced. We also describe the concepts of dn and tdn-degree of a vertex in a RPFG. Based on those two types of degrees, we classify the regularity of PFG into 3 type’s namely, dn- RPFG, tdn-RPFG and n- highly irregular PFG. Several theorems of those RPFG are presented here. We define the busy vertex and free vertex in a RPFG. We present the notations of μ-complement, homomorphism, isomorphism, weak isomorphism and co weak isomorphism of RPFG. Some significant theorems on isomorphism and μ- complement of RPFG are derived here. We also introduce the notation of picture fuzzy multigraph. We present a mathematical model of communication network and transportation network by using picture fuzzy multigraph and real time data are collected so that the transportation network/communication network can work efficiently.
