The Properties of Continuous Pythagorean Fuzzy Information

被引:200
|
作者
Gou, Xunjie [1 ]
Xu, Zeshui [1 ]
Ren, Peijia [1 ]
机构
[1] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China
基金
中国国家自然科学基金;
关键词
MEMBERSHIP GRADES; SETS; EXTENSION; TOPSIS;
D O I
10.1002/int.21788
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In practical decision-making processes, we can utilize various types of fuzzy sets to express the uncertain and ambiguous information. However, we may encounter such the situations: the sum of the support (membership) degree and the against (nonmembership) degree to which an alternative satisfies a criterion provided by the decision maker may be bigger than 1 but their square sum is equal to or less than 1. The Pythagorean fuzzy sets (PFS), as the generalization of the fuzzy sets, can be used to effectively deal with this issue. Therefore, to enrich the theory of PFS, it is very necessary to investigate the fundamental properties of Pythagorean fuzzy information. In this paper, we first describe the change values of Pythagorean fuzzy numbers (PFNs), which are the basic components of PFSs, when considering them as variables. Then we divide all the change values into the eight regions by using the basic operations of PFNs. Finally, we develop several Pythagorean fuzzy functions and study their fundamental properties such as continuity, derivability, and differentiability in detail.
引用
收藏
页码:401 / 424
页数:24
相关论文
共 50 条
  • [21] Attribute Reduction Methods Based on Pythagorean Fuzzy Covering Information Systems
    Yan, Chen
    Zhang, Haidong
    IEEE ACCESS, 2020, 8 : 28484 - 28495
  • [22] Digraph and matrix approach for risk evaluations under Pythagorean fuzzy information
    Luqman, Anam
    Akram, Muhammad
    Alcantud, Jose Carlos R.
    EXPERT SYSTEMS WITH APPLICATIONS, 2021, 170
  • [23] Decision-theoretic rough sets under Pythagorean fuzzy information
    Mandal, Prasenjit
    Ranadive, A. S.
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2018, 33 (04) : 818 - 835
  • [24] Research on service quality evaluation of sports clubs with Pythagorean fuzzy information
    Liu, Shulin
    Jiang, Rui
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2022, 43 (01) : 343 - 354
  • [25] Prioritized weighted aggregation operators under complex pythagorean fuzzy information
    Akram, Muhammad
    Peng, Xindong
    Al-Kenani, Ahmad N.
    Sattar, Aqsa
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 39 (03) : 4763 - 4783
  • [26] Pythagorean Fuzzy Subsets
    Yager, Ronald R.
    PROCEEDINGS OF THE 2013 JOINT IFSA WORLD CONGRESS AND NAFIPS ANNUAL MEETING (IFSA/NAFIPS), 2013, : 57 - 61
  • [27] Expanding Pythagorean fuzzy sets with distinctive radii: disc Pythagorean fuzzy sets
    Khan, Muhammad Jabir
    Alcantud, Jose Carlos R.
    Kumam, Wiyada
    Kumam, Poom
    Alreshidi, Nasser Aedh
    COMPLEX & INTELLIGENT SYSTEMS, 2023, 9 (06) : 7037 - 7054
  • [28] Algorithms for computing Pythagorean fuzzy average edge connectivity of Pythagorean fuzzy graphs
    Muhammad Akram
    Uzma Ahmad
    Mohammed M. Ali Al-Shamiri
    Ayesha Shareef
    Journal of Applied Mathematics and Computing, 2024, 70 : 375 - 416
  • [29] Solution of the Pythagorean fuzzy wave equation with Pythagorean fuzzy Fourier sine transform
    Akram, Muhammad
    Yousuf, Muhammad
    Allahviranloo, Tofigh
    GRANULAR COMPUTING, 2023, 8 (06) : 1149 - 1171
  • [30] Expanding Pythagorean fuzzy sets with distinctive radii: disc Pythagorean fuzzy sets
    Muhammad Jabir Khan
    Jose Carlos R. Alcantud
    Wiyada Kumam
    Poom Kumam
    Nasser Aedh Alreshidi
    Complex & Intelligent Systems, 2023, 9 : 7037 - 7054