Abstract
In this chapter, we present a novel frame work for handling bipolar fuzzy soft information by combining the theory of bipolar fuzzy soft sets with graphs. We present certain notions of bipolar fuzzy soft graphs. We investigate some of their properties. We discuss several applications of the bipolar fuzzy soft graphs in multiple criteria decision-making problems. We also develop algorithms in each multiple criteria decision-making problem. This chapter is based on [18].
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Akram, M., Zafar, F. (2020). Bipolar Fuzzy Soft Graphs. In: Hybrid Soft Computing Models Applied to Graph Theory. Studies in Fuzziness and Soft Computing, vol 380. Springer, Cham. https://doi.org/10.1007/978-3-030-16020-3_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-16020-3_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-16019-7
Online ISBN: 978-3-030-16020-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)