Open Access

ARTICLE

Emerging Trends in Social Networking Systems and Generation Gap with Neutrosophic Crisp Soft Mapping

Muhammad Riaz¹, Masooma Raza Hashmi¹, Faruk Karaaslan², Aslıhan Sezgin³, Mohammed M. Ali Al Shamiri^4,5,*, Mohammed M. Khalaf^6,7

1 Department of Mathematics, University of the Punjab, Lahore, Pakistan
2 Department of Mathematics, Çankırı Karatekin University, Çankırı, Turkey
3 Department of Mathematics and Science Education, Amasya University, Amasya, Turkey
4 Department of Mathematics, Faculty of Science and Arts, King Khalid University, Muhayl Assir, Saudi Arabia
5 Department of Mathematics and Computer, Faculty of Science, Ibb University, Ibb, Yemen
6 Higher Institute of Engineering and Technology King Marriott, Alexandria, Egypt
7 Faculty of Engineering, Arab Academy for Science & Technology and Maritime Transport (AASTMT), Aswan Branch, Egypt

* Corresponding Author: Mohammed M. Ali Al Shamiri. Email:

(This article belongs to the Special Issue: Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)

Computer Modeling in Engineering & Sciences 2023, 136(2), 1759-1783. https://doi.org/10.32604/cmes.2023.023327

Received 20 April 2022; Accepted 22 August 2022; Issue published 06 February 2023

Abstract

This paper aims to introduce the novel concept of neutrosophic crisp soft set (NCSS), including various types of neutrosophic crisp soft sets (NCSSs) and their fundamental operations. We define NCS-mapping and its inverse NCS-mapping between two NCS-classes. We develop a robust mathematical modeling with the help of NCS-mapping to analyze the emerging trends in social networking systems (SNSs) for our various generations. We investigate the advantages, disadvantages, and natural aspects of SNSs for five generations. With the changing of the generations, it is analyzed that emerging trends and the benefits of SNSs are increasing day by day. The suggested modeling with NCS-mapping is applicable in solving various decision-making problems.

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