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

被引:4
|
作者
Khan, Salma [1 ]
Gulistan, Muhammad [1 ]
Kausar, Nasreen [2 ]
Pamucar, Dragan [3 ]
Hong, Tzung-Pei [4 ,5 ]
Wahab, Hafiz Abdul [1 ]
机构
[1] Hazara Univ Mansehra, Dept Math & Stat, Mansehra 21120, Pakistan
[2] Yildiz Tech Univ, Fac Arts & Sci, Dept Math, TR-34210 Istanbul, Turkiye
[3] Univ Belgrade, Fac Org Sci, Belgrade 11000, Serbia
[4] Natl Univ Kaohsiung, Dept Comp Sci & Informat Engn, Kaohsiung 804, Taiwan
[5] Natl Sun Yat Sen Univ, Dept Comp Sci & Engn, Kaohsiung 804, Taiwan
来源
关键词
Hypersoft set; q-rung orthopair fuzzy hypersoft set; induced aggregation operator; decision-making;
D O I
10.32604/cmes.2023.026169
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:3141 / 3156
页数:16
相关论文
共 50 条
  • [1] Multiattribute group decision making based on neutrality aggregation operators of q-rung orthopair fuzzy sets
    Garg, Harish
    Chen, Shyi-Ming
    INFORMATION SCIENCES, 2020, 517 : 427 - 447
  • [2] q-Rung orthopair fuzzy hypersoft ordered aggregation operators and their application towards green supplier
    Khan, Salma
    Gulistan, Muhammad
    Kausar, Nasreen
    Pamucar, Dragan
    Ozbilge, Ebru
    El-Kanj, Nasser
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 10
  • [3] Multi-Attribute Decision Making with Einstein Aggregation Operators in Complex Q-Rung Orthopair Fuzzy Hypersoft Environments
    Ying, Changyan
    Slamu, Wushour
    Ying, Changtian
    ENTROPY, 2022, 24 (10)
  • [4] On the q-Rung Orthopair Fuzzy Aggregation Operators
    Nguyen, Hoang
    2023 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, FUZZ, 2023,
  • [5] Some Dombi aggregation operators based on complex q-rung orthopair fuzzy sets and their application to multi-attribute decision making
    Zeeshan Ali
    Tahir Mahmood
    Computational and Applied Mathematics, 2022, 41
  • [6] q-Rung orthopair fuzzy soft average aggregation operators and their application in multicriteria decision-making
    Hussain, Azmat
    Ali, Muhammad Irfan
    Mahmood, Tahir
    Munir, Muhammad
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2020, 35 (04) : 571 - 599
  • [7] Group decision making based on q-rung orthopair fuzzy weighted averaging aggregation operator of q-rung orthopair fuzzy numbers
    Kumar, Kamal
    Chen, Shyi-Ming
    INFORMATION SCIENCES, 2022, 598 : 1 - 18
  • [8] Some Dombi aggregation operators based on complex q-rung orthopair fuzzy sets and their application to multi-attribute decision making
    Ali, Zeeshan
    Mahmood, Tahir
    COMPUTATIONAL & APPLIED MATHEMATICS, 2022, 41 (01):
  • [9] Neutrality aggregation operators based on complex q-rung orthopair fuzzy sets and their applications in multiattribute decision-making problems
    Garg, Harish
    Gandomi, Amir H.
    Ali, Zeeshan
    Mahmood, Tahir
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 37 (01) : 1010 - 1051
  • [10] Analysis of Cryptocurrency Market by Using q-Rung Orthopair Fuzzy Hypersoft Set Algorithm Based on Aggregation Operators
    Khan, Salma
    Gulistan, Muhammad
    Kausar, Nasreen
    Kousar, Sajida
    Pamucar, Dragan
    Addis, Gezahagne Mulat
    COMPLEXITY, 2022, 2022