Page 45 - POSTER FYP MAC-OGOS 2025

K242/46

ASSESSING THE MOST PREFERABLE SOCIAL NETWORKING

SITES BY USING PYTHAGOREAN FUZZY TOPSIS METHOD

NURUL AMIRA BINTI MOHD ASRI

SUPERVISOR’S NAME : NURUL SUHADA BINTI AZIZ

ABSTRACT PROBLEM STATEMENT

This study uses the Pythagorean Fuzzy TOPSIS approach to determine the Difficult to assessing the most favored SNS among students
most preferable social networking site such as Facebook, Instagram, and because of the platforms’ quick growth and variety of features.

TikTok. Selecting the best platform based on user demands has grown
more crucial as social media use keeps growing quickly. Lack of precise information on student preferences and the

Content, privacy, usability, and functionality were the four evaluation elements that affect their decisions, including content type,
criteria used during this study, and each was given equal weight. privacy settings, usability, and general functionality.

The methodology included construct a fuzzy decision matrix,
normalization, calculate the weights, and calculating the closeness

coefficient.

METHOD AND IMPLEMENTATION

OBJECTIVES

To apply Pythagorean Fuzzy Number and Pythagorean Fuzzy

Weight Average operator (PFWA) in Multi-Criteria Decision-

Making (MCDM).

To apply the general model for Fuzzy TOPSIS in the selecting

the most preferable of social networking sites (SNS).

To rank the most preferable Social Networking Sites (SNS).

RESULT AND DISCUSSION

The ranking is determined by the Pythagorean Fuzzy TOPSIS

method where Instagram comes in first, followed by Facebook

and TikTok. These results reflect current user preferences,

emphasizing the importance of privacy, ease of use, and engaging

content in determining platform desirability.

CONCLUSION

This study aimed to identify the most preferred social networking site
among Facebook, Instagram, and TikTok. As social media usage

continues to rise rapidly, it becomes increasingly challenging for users RECOMMENDATION

to select platforms that best meet their needs in terms of content,
privacy, usability, and functionality. It is recommended that other fuzzy multi-criteria decision-making (MCDM)

According to the findings, Instagram was the most preferred social techniques be used in future studies to evaluate preference for social
networking site, followed by Facebook and TikTok. According to this networking sites (SNS) from different analytical perspectives such as using

evaluation, out of the three platforms taken into consideration, ranking techniques like TOPSIS or VIKOR for more accurate and systematic
Instagram now offers a more balanced mix of user friendly features, weight determination of the criteria. Future study can potentially enhance

content engagement, and perceived privacy.
the scope by including criteria such as privacy, content, usability and
functionality or used another platform from the factors that are becoming

increasing significant in SNS evaluation and by involving a wider

demography such as staff, graduates, or users from different universities.