Citation

Anaam, Elham Abdulwahab and Haw, Su Cheng and Ng, Kok Why and Naveen, Palanichamy and Tong, Gee Kok (2024) Analysis of multi-criteria recommendation system based on fuzzy algorithm. Bulletin of Electrical Engineering and Informatics, 13 (4). pp. 2969-2978. ISSN 2089-3191

Text Analysis of multi-criteria recommendation system based on fuzzy algorithm _ Anaam _ Bulletin of Electrical Engineering and Informatics.pdf - Published Version Restricted to Repository staff only Download (2MB)

Abstract

There is a gap in defining the multi-criteria decision-making issues and with recommendation techniques and theories that can help develop the modulation coefficient recommenders.The main objective of this research is to identify an in-depth examination of the category of multiple variables recommendation systems. The methodology that is used in the current study is fuzzy multi-critical decision-making to enhance the precision and appropriateness of the recommendations provided to users, and make recommendations by representing an individual's performance for the product as an ordered collection of rankings in addition to different parameters. The techniques used to make forecasts and produce recommendations using multi-criteria rankings are reviewed. In addition, we propose the multiple-criteria ranking algorithms. Experimental evaluations demonstrated that our proposed algorithms can solve the multi-criteria issues. Furthermore, the research considers unresolved problems and upcoming difficulties for the category of recommendations for multiple variables ratings

Item Type:	Article
Uncontrolled Keywords:	Recommender system, decision-making
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	02 Jul 2024 01:40
Last Modified:	02 Jul 2024 01:40
URII:	http://shdl.mmu.edu.my/id/eprint/12542

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