Algorithm for Shortest Path Problem in a Network with Interval-valued Intuitionistic Trapezoidal Fuzzy Number

被引：20
|
作者：
Kumar, Gaurav [1 ]
Bajaj, Rakesh Kumar [2 ]
Gandotra, Neeraj [3 ]
机构：
[1] GNA Univ, Phagwara 174301, Punjab, India
[2] Jaypee Univ Informat Technol, Solan 173234, HP, India
[3] Shoolini Univ, Solan 173229, HP, India
来源：
PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON ECO-FRIENDLY COMPUTING AND COMMUNICATION SYSTEMS | 2015年 / 70卷
关键词：
Interval-valued Intuitionistic fuzzy sets; Interval-valued Intuitionistic Trapezoidal fuzzy number; ranking function; Interval-valued Intuitionistic fuzzy shortest path problem;
D O I：
10.1016/j.procs.2015.10.056
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The shortest path problem is a classical network optimization problem which has a wide range of applications in various fields of science and engineering. In the present communication, an algorithm to find the shortest path and shortest distance in an interval-valued intuitionistic fuzzy graph with nodes and links being crisp but the edge weights will be Interval-valued Intuitionistic Trapezoidal Fuzzy Numbers (IITFNs). Finally, a numerical example has been provided for illustrating the proposed approach. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码：123 / 129
页数：7
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