Paper Info
Title
Certain Algorithms For Computing Strength Of Competition In Bipolar Fuzzy Graphs
Abstract
Fuzzy graph theory is one of the most developing area of research, which has a variety of applications in different fields, including computer science, communication networks, biological sciences, social networks, decision-making and optimization problems. A wide variety of human decision making is based on double-sided or bipolar judgmental thinking on a positive side and a negative side. In this research article, we present some interesting applications of bipolar fuzzy competition graphs in business marketing, social network and wireless communication network. We design and implement algorithms for computing the strength of competition in the bipolar fuzzy graphs. We also compute time complexity of each algorithm.
Year
DOI
Venue
2017
10.1142/S0218488517500374
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
Keywords
Field
DocType
Bipolar fuzzy competition graph, bipolar fuzzy conflict graph, bipolar fuzzy confusion graph, algorithm, time complexity
Social network,Telecommunications network,Computer science,Fuzzy set operations,Theoretical computer science,Artificial intelligence,Fuzzy number,Time complexity,Optimization problem,Neuro-fuzzy,Fuzzy logic,Algorithm,Machine learning
Journal
Volume
Issue
ISSN
25
6
0218-4885
Citations 
PageRank 
References 
11
0.60
8
Authors
2
Name
Order
Citations
PageRank
Musavarah Sarwar1506.43
Muhammad Akram26315.02