Next Article in Journal
Meshless Local Petrov–Galerkin Formulation of Inverse Stefan Problem via Moving Least Squares Approximation
Previous Article in Journal
Factors for Marketing Innovation in Portuguese Firms CIS 2014
Open AccessArticle

Hypergraphs Based on Pythagorean Fuzzy Soft Model

Department of Mathematics, University of the Punjab, New Campus, Lahore 4590, Pakistan
Author to whom correspondence should be addressed.
Math. Comput. Appl. 2019, 24(4), 100;
Received: 30 October 2019 / Revised: 20 November 2019 / Accepted: 20 November 2019 / Published: 23 November 2019
A Pythagorean fuzzy soft set (PFSS) model is an extension of an intuitionistic fuzzy soft set (IFSS) model to deal with vague knowledge according to different parameters. The PFSS model is a more powerful tool for expressing uncertain information when making decisions and it relaxes the constraint of IFSS. Hypergraphs are helpful to handle the complex relationships among objects. Here, we apply the concept of PFSSs to hypergraphs, and present the notion of Pythagorean fuzzy soft hypergraphs (PFSHs). Further, we illustrate some operations on PFSHs. Moreover, we describe the regular PFSHs, perfectly regular PFSHs and perfectly irregular PFSHs. Finally, we consider the application of PFSHs for the selection of a team of workers for business and got the appropriate result by using score function. View Full-Text
Keywords: Pythagorean fuzzy soft hyperpgraphs; perfectly regular; perfectly irregular Pythagorean fuzzy soft hyperpgraphs; perfectly regular; perfectly irregular
Show Figures

Figure 1

MDPI and ACS Style

Shahzadi, G.; Akram, M. Hypergraphs Based on Pythagorean Fuzzy Soft Model. Math. Comput. Appl. 2019, 24, 100.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop