Open Access iconOpen Access

ARTICLE

crossmark

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 Hong4,5, Hafiz Abdul Wahab1,*

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: 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

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.

Graphical Abstract

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

Keywords


Cite This Article

APA Style
Khan, S., Gulistan, M., Kausar, N., Pamucar, D., Hong, T. et al. (2023). Aggregation operators for decision making based on q-rung orthopair fuzzy hypersoft sets: an application in real estate project. Computer Modeling in Engineering & Sciences, 136(3), 3141-3156. https://doi.org/10.32604/cmes.2023.026169
Vancouver Style
Khan S, Gulistan M, Kausar N, Pamucar D, Hong T, Wahab HA. Aggregation operators for decision making based on q-rung orthopair fuzzy hypersoft sets: an application in real estate project. Comput Model Eng Sci. 2023;136(3):3141-3156 https://doi.org/10.32604/cmes.2023.026169
IEEE Style
S. Khan, M. Gulistan, N. Kausar, D. Pamucar, T. Hong, and H.A. Wahab "Aggregation Operators for Decision Making Based on q-Rung Orthopair Fuzzy Hypersoft Sets: An Application in Real Estate Project," Comput. Model. Eng. Sci., vol. 136, no. 3, pp. 3141-3156. 2023. https://doi.org/10.32604/cmes.2023.026169



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1441

    View

  • 586

    Download

  • 0

    Like

Share Link