Open Access

ARTICLE

Aggregation Operators for Decision Making Based on q-Rung Orthopair Fuzzy Hypersoft Sets: An Application in Real Estate Project

Salma Khan¹, Muhammad Gulistan¹, Nasreen Kausar², Dragan Pamucar³, Tzung-Pei Hong^4,5, Hafiz Abdul Wahab^1,*

1 Department of Mathematics and Statistics, Hazara University Mansehra, 21120, Pakistan
2 Department of Mathematics, Faculty of Arts and Sciences, Yildiz Technical University, Esenler, Istanbul, 34210, Turkey
3 Faculty of Organizational Sciences, University of Belgrade, Belgrade, 11000, Serbia
4 Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, 804, Taiwan
5 Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, 804, Taiwan

* Corresponding Author: Hafiz Abdul Wahab. Email:

(This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)

Computer Modeling in Engineering & Sciences 2023, 136(3), 3141-3156. https://doi.org/10.32604/cmes.2023.026169

Received 20 August 2022; Accepted 01 November 2022; Issue published 09 March 2023

Abstract

In this paper, a decision-making problem with a q-rung orthopair fuzzy hypersoft environment is developed, and two operators of ordered weighted average and induced ordered weighted average are developed. Several fundamental features are also derived. The induced ordered weighted average operator is essential in a q-ROFH environment as the induced ordered aggregation operators are special cases of the existing aggregation operators that already exist in q-ROFH environments. The main function of these operators is to help decision-makers gain a complete understanding of uncertain facts. The proposed aggregation operator is applied to a decision-making problem, with the aim of selecting the most promising real estate project for investment.

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