Results 1 to 10 of about 5,465 (114)
Multi-Attribute Decision-Making Based on Bonferroni Mean Operators under Cubic Intuitionistic Fuzzy Set Environment [PDF]
Entropy, 2018 Cubic intuitionistic fuzzy (CIF) set is the hybrid set which can contain much more information to express an interval-valued intuitionistic fuzzy set and an intuitionistic fuzzy set simultaneously for handling the uncertainties in the data. Unfortunately,
Gagandeep Kaur, Harish Garg
doaj +2 more sources
Uncertain Bonferroni Mean Operators [PDF]
International Journal of Computational Intelligence Systems, 2010 The Bonferroni mean is a traditional mean type aggregation operator bounded by the max and min operators, which is suitable to aggregate the crisp data. In this paper, we consider situations where the input data are interval numbers.
Zeshui Xu
doaj +3 more sources
IEEE Access, 2020 Some q-rung orthopair fuzzy Bonferroni mean Dombi aggregation operators have been developed based on the Bonferroni mean, Dombi T-norm and T-conorm in q-rung orthopair fuzzy environment.
Wei Yang, Yongfeng Pang
doaj +3 more sources
Information, 2017 Linguistic neutrosophic numbers (LNN) is presented by Fang and Ye in 2017, which can describe the truth, falsity, and indeterminacy linguistic information independently.
Changxing Fan, Jun Ye, Keli Hu, En Fan
doaj +3 more sources
IEEE Access, 2018 For this paper, to consider both Bonferroni mean (BM) operator and two-tuple linguistic Pythagorean fuzzy numbers (2TLPFNs), we combine the weighted BM (WBM) operator, the generalized WBM (GWBM) operator, and the dual GWBM operator with 2TLPFNs to ...
Xiumei Deng +3 more
doaj +3 more sources
IEEE Access, 2019 As we all know, the Bonferroni mean (BM) operator has the advantage of considering interrelationships between parameters. In this paper, we combine the generalized weighted BM (GWBM) operator and generalized weighted Bonferroni geometric mean (GWGBM ...
Guiwu Wei +4 more
doaj +3 more sources
Picture fuzzy soft Bonferroni mean aggregation operators and their applications
Heliyon, 2023 Due to more advanced features of the picture fuzzy soft set and valuable characteristics of aggregation operators, in this article, we present the notion of picture fuzzy soft Bonferroni mean aggregation operators and weighted picture fuzzy soft ...
Xiaopeng Yang +2 more
doaj +1 more source
Mathematics, 2022 To deal with complicated decision problems with T-Spherical fuzzy values in the aggregation process, T-Spherical fuzzy Bonferroni mean operators are developed by extending the Bonferroni mean and Dombi mean to a T-Spherical fuzzy environment.
Wei Yang, Yongfeng Pang
doaj +1 more source
Hesitant Fermatean fuzzy Bonferroni mean operators for multi-attribute decision-making
Complex & Intelligent Systems, 2023 Hesitant Fermatean fuzzy sets (HFFS) can characterize the membership degree (MD) and non-membership degree (NMD) of hesitant fuzzy elements in a broader range, which offers superior fuzzy data processing capabilities for addressing complex uncertainty ...
Yibo Wang +4 more
doaj +1 more source
IEEE Access, 2020 The optimal combination of assets can be selected by the traditional portfolio theory which uses historical quantitative data to represent the future return of assets.
Amir Hosein Mahmoodi +4 more
doaj +1 more source