A robust algorithmic cum integrated approach of interval-valued fuzzy hypersoft set and OOPCS for real estate pursuit

Muhammad Arshad; Muhammad Saeed; Atiqe Ur Rahman; Mazin Abed Mohammed; Karrar Hameed Abdulkareem; Abed Saif Alghawli; Mohammed A A Al-Qaness

doi:10.7717/peerj-cs.1423

A robust algorithmic cum integrated approach of interval-valued fuzzy hypersoft set and OOPCS for real estate pursuit

PeerJ Comput Sci. 2023 Jun 22:9:e1423. doi: 10.7717/peerj-cs.1423. eCollection 2023.

Authors

Muhammad Arshad¹, Muhammad Saeed¹, Atiqe Ur Rahman¹, Mazin Abed Mohammed², Karrar Hameed Abdulkareem³, Abed Saif Alghawli⁴, Mohammed A A Al-Qaness⁵

Affiliations

¹ Department of Mathematics, University of Management and Technology, Lahore, Pakistan.
² College of Computer Science and Information Technology, University of Anbar, Anbar, Ramadi, Iraq.
³ College of Agriculture, Al-Muthanna University, Samawah, Iraq.
⁴ Computer Science Department, College of Sciences and Humanities, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia.
⁵ College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua, China.

Abstract

Due to the vast variety of aspects that must be made-many of which are in opposition to one another-choosing a home can be difficult for those without much experience. Individuals need to spend more time making decisions because they are difficult, which results in making poor choices. To overcome residence selection issues, a computational approach is necessary. Unaccustomed people can use decision support systems to help them make decisions of expert quality. The current article explains the empirical procedure in that field in order to construct decision-support system for selecting a residence. The main goal of this study is to build a weighted product mechanism-based decision-support system for residential preference. The said house short-listing estimation is based on several key requirements derived from the interaction between the researchers and experts. The results of the information processing show that the normalized product strategy can rank the available alternatives to help individuals choose the best option. The interval valued fuzzy hypersoft set (IVFHS-set) is a broader variant of the fuzzy soft set that resolves the constraints of the fuzzy soft set from the perspective of the utilization of the multi-argument approximation operator. This operator maps sub-parametric tuples into a power set of universe. It emphasizes the segmentation of every attribute into a disjoint attribute valued set. These characteristics make it a whole new mathematical tool for handling problems involving uncertainties. This makes the decision-making process more effective and efficient. Furthermore, the traditional TOPSIS technique as a multi-criteria decision-making strategy is discussed in a concise manner. A new decision-making strategy, "OOPCS" is constructed with modifications in TOPSIS for fuzzy hypersoft set in interval settings. The proposed strategy is applied to a real-world multi-criteria decision-making scenario for ranking the alternatives to check and demonstrate their efficiency and effectiveness.

Keywords: Decision making; Fuzzy hypersoft set; Fuzzy set; Hypersoft set; Interval-valued fuzzy soft set; OOPCS; Soft set; TOPSIS.

Grants and funding

The authors received no funding for this work.