145 related articles for article (PubMed ID: 35035018)
1. Group decision-making with Fermatean fuzzy soft expert knowledge.
Akram M; Ali G; Alcantud JCR; Riaz A
Artif Intell Rev; 2022; 55(7):5349-5389. PubMed ID: 35035018
[TBL] [Abstract][Full Text] [Related]
2. Multiattribute decision-making under Fermatean fuzzy bipolar soft framework.
Ali G; Ansari MN
Granul Comput; 2022; 7(2):337-352. PubMed ID: 38624753
[TBL] [Abstract][Full Text] [Related]
3. Fermatean Fuzzy Schweizer-Sklar Operators and BWM-Entropy-Based Combined Compromise Solution Approach: An Application to Green Supplier Selection.
Wei D; Meng D; Rong Y; Liu Y; Garg H; Pamucar D
Entropy (Basel); 2022 May; 24(6):. PubMed ID: 35741498
[TBL] [Abstract][Full Text] [Related]
4. Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection.
Kirişci M; Demir I; Şimşek N
Artif Intell Med; 2022 May; 127():102278. PubMed ID: 35430046
[TBL] [Abstract][Full Text] [Related]
5. An enhanced VIKOR method for multi-criteria group decision-making with complex Fermatean fuzzy sets.
Akram M; Muhiuddin G; Santos-García G
Math Biosci Eng; 2022 May; 19(7):7201-7231. PubMed ID: 35730303
[TBL] [Abstract][Full Text] [Related]
6. A New Group Decision-Making Technique under Picture Fuzzy Soft Expert Information.
Tchier F; Ali G; Gulzar M; Pamučar D; Ghorai G
Entropy (Basel); 2021 Sep; 23(9):. PubMed ID: 34573801
[TBL] [Abstract][Full Text] [Related]
7. Multicriteria decision-making based on distance measures and knowledge measures of Fermatean fuzzy sets.
Ganie AH
Granul Comput; 2022; 7(4):979-998. PubMed ID: 38624999
[TBL] [Abstract][Full Text] [Related]
8. Multi-attribute decision-making based on novel Fermatean fuzzy similarity measure and entropy measure.
Alahmadi RA; Ganie AH; Al-Qudah Y; Khalaf MM; Ganie AH
Granul Comput; 2023 Apr; ():1-21. PubMed ID: 38625150
[TBL] [Abstract][Full Text] [Related]
9. Blockchain knowledge selection under the trapezoidal fermatean fuzzy number.
Fahmi A; Maqbool Z; Amin F; Aslam M
Soft comput; 2023; 27(7):3601-3621. PubMed ID: 36407892
[TBL] [Abstract][Full Text] [Related]
10. Complex fermatean fuzzy
Akram M; Amjad U; Alcantud JCR; Santos-García G
J Ambient Intell Humaniz Comput; 2023; 14(7):8765-8798. PubMed ID: 35136452
[TBL] [Abstract][Full Text] [Related]
11. Fermatean fuzzy soft aggregation operators and their application in symptomatic treatment of COVID-19 (case study of patients identification).
Zeb A; Khan A; Juniad M; Izhar M
J Ambient Intell Humaniz Comput; 2022 Feb; ():1-18. PubMed ID: 35222734
[TBL] [Abstract][Full Text] [Related]
12. Complex Fermatean fuzzy extended TOPSIS method and its applications in decision making.
Zaman M; Ghani F; Khan A; Abdullah S; Khan F
Heliyon; 2023 Sep; 9(9):e19170. PubMed ID: 37809522
[TBL] [Abstract][Full Text] [Related]
13. Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID-19 testing laboratory selection problem.
Gül S
Expert Syst; 2021 Dec; 38(8):e12769. PubMed ID: 34511690
[TBL] [Abstract][Full Text] [Related]
14. Interval-valued fermatean fuzzy sets with multi-criteria weighted aggregated sum product assessment-based decision analysis framework.
Rani P; Mishra AR
Neural Comput Appl; 2022; 34(10):8051-8067. PubMed ID: 35095210
[TBL] [Abstract][Full Text] [Related]
15. Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source selection.
Mishra AR; Rani P; Saha A; Senapati T; Hezam IM; Yager RR
Complex Intell Systems; 2022; 8(6):5223-5248. PubMed ID: 35571604
[TBL] [Abstract][Full Text] [Related]
16. New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach.
Kirişci M
Knowl Inf Syst; 2023; 65(2):855-868. PubMed ID: 36373008
[TBL] [Abstract][Full Text] [Related]
17. Interval-Valued Intuitionistic Fuzzy Soft Rough Approximation Operators and Their Applications in Decision Making Problem.
Mukherjee A; Mukherjee A
Ann Data Sci; 2022; 9(3):611-625. PubMed ID: 38624998
[TBL] [Abstract][Full Text] [Related]
18. An extended MABAC method based on prospect theory with unknown weight information under Fermatean fuzzy environment for risk investment assessment in B&R.
Tan J; Liu Y; Senapati T; Garg H; Rong Y
J Ambient Intell Humaniz Comput; 2022 Mar; ():1-30. PubMed ID: 35340700
[TBL] [Abstract][Full Text] [Related]
19. Fermatean hesitant fuzzy rough aggregation operators and their applications in multiple criteria group decision-making.
Attaullah ; Rehman N; Khan A; Santos-García G
Sci Rep; 2023 Apr; 13(1):6676. PubMed ID: 37095156
[TBL] [Abstract][Full Text] [Related]
20. A new multi-attribute group decision-making method based on Einstein Bonferroni operators under interval-valued Fermatean hesitant fuzzy environment.
Lei S; Ma X; Qin H; Wang Y; Zain JM
Sci Rep; 2024 May; 14(1):12370. PubMed ID: 38811626
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
