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For: Gou X, Xu Z, Liao H, Herrera F. Probabilistic double hierarchy linguistic term set and its use in designing an improved VIKOR method: The application in smart healthcare. Journal of the Operational Research Society 2021;72:2611-30. [DOI: 10.1080/01605682.2020.1806741] [Cited by in Crossref: 37] [Cited by in F6Publishing: 29] [Article Influence: 12.3] [Reference Citation Analysis]
Number Citing Articles
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7 Liao H, Yang S, Kazimieras Zavadskas E, Škare M. An overview of fuzzy multi-criteria decision-making methods in hospitality and tourism industries: bibliometrics, methodologies, applications and future directions. Economic Research-Ekonomska Istraživanja 2022. [DOI: 10.1080/1331677x.2022.2150871] [Reference Citation Analysis]
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11 Weng L, Lin J, Lv S. Multi-attribute group decision-making method with linguistic q-rung orthopair fuzzy information based on bi-direction Choquet integral. IJICC 2022. [DOI: 10.1108/ijicc-07-2022-0188] [Reference Citation Analysis]
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15 Liu Y, Yang Y. A probabilistic linguistic opinion dynamics method based on the DeGroot model for emergency decision-making in response to COVID-19. Computers & Industrial Engineering 2022. [DOI: 10.1016/j.cie.2022.108677] [Reference Citation Analysis]
16 Zhang S, Wei G, Lin R, Chen X. Cumulative prospect theory integrated CRITIC and TOPSIS methods for intuitionistic fuzzy multiple attribute group decision making. IFS 2022. [DOI: 10.3233/jifs-220638] [Reference Citation Analysis]
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18 Zhao M, Kou D, Li L, Lin M. An incomplete probabilistic linguistic multi-attribute group decision making method based on a three-dimensional trust network. Appl Intell. [DOI: 10.1007/s10489-022-03738-3] [Reference Citation Analysis]
19 Wang L, Li H, Zhang J, Yang J, Božanić D. Grey Relational Analysis Method for Probabilistic Double Hierarchy Linguistic Multiple Attribute Group Decision Making and Its Application to College Tennis Classroom Teaching Effect Evaluation. Mathematical Problems in Engineering 2022;2022:1-17. [DOI: 10.1155/2022/7419496] [Reference Citation Analysis]
20 Castillo O, Castro JR, Melin P. A methodology for building interval type‐3 fuzzy systems based on the principle of justifiable granularity. Int J of Intelligent Sys. [DOI: 10.1002/int.22910] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
21 Krishankumar R, Pamucar D, Pandey A, Kar S, Ravichandran KS. Double hierarchy hesitant fuzzy linguistic information based framework for personalized ranking of sustainable suppliers. Environ Sci Pollut Res Int 2022. [PMID: 35486270 DOI: 10.1007/s11356-022-20359-y] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
22 Ravichandran K, Krishankumar R, Deb S, Pamucar D, Paul D, Božanić D, Ahmadian A. A New Interactive Decision Approach with Probabilistic Linguistic Data: An Application in the Academic Sector. Mathematical Problems in Engineering 2022;2022:1-13. [DOI: 10.1155/2022/9299246] [Reference Citation Analysis]
23 Liu Z, Bi Y, Wang X, Sha L, Liu P. A generalized TODIM-ELECTRE II method based on linguistic Z-numbers and Dempster–Shafer evidence theory with unknown weight information. Complex Intell Syst 2022;8:949-971. [DOI: 10.1007/s40747-021-00523-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
24 Wu X, Liao H, Zavadskas EK, Antuchevičienė J. A PROBABILISTIC LINGUISTIC VIKOR METHOD TO SOLVE MCDM PROBLEMS WITH INCONSISTENT CRITERIA FOR DIFFERENT ALTERNATIVES. Technological and Economic Development of Economy 2022;28:559-80. [DOI: 10.3846/tede.2022.16634] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
25 Hasanzadeh R, Mojaver P, Azdast T, Chitsaz A, Park CB. Low-emission and energetically efficient co-gasification of coal by incorporating plastic waste: A modeling study. Chemosphere 2022;299:134408. [PMID: 35341769 DOI: 10.1016/j.chemosphere.2022.134408] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
26 Yuan F, Guirao JLG. Method for Pythagorean Interval 2-Tuple Linguistic Multiattribute Group Decision Making and Its Application to the Ship Navigation Environment Safety Assessment. Discrete Dynamics in Nature and Society 2022;2022:1-11. [DOI: 10.1155/2022/6881900] [Reference Citation Analysis]
27 Zhang R, Xu Z, Gou X. ELECTRE II method based on the cosine similarity to evaluate the performance of financial logistics enterprises under double hierarchy hesitant fuzzy linguistic environment. Fuzzy Optim Decis Making. [DOI: 10.1007/s10700-022-09382-3] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
28 Zhou F, Chen T. A hybrid approach combining AHP with TODIM for blockchain technology provider selection under the Pythagorean fuzzy scenario. Artif Intell Rev. [DOI: 10.1007/s10462-021-10128-7] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
29 Garg H, Gandomi AH, Ali Z, Mahmood T. Neutrality aggregation operators based on complex q‐rung orthopair fuzzy sets and their applications in multiattribute decision‐making problems. Int J Intell Syst 2022;37:1010-51. [DOI: 10.1002/int.22657] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
30 Lei F, Wei G, Shen W, Guo Y. PDHL-EDAS METHOD FOR MULTIPLE ATTRIBUTE GROUP DECISION MAKING AND ITS APPLICATION TO 3D PRINTER SELECTION. Technological and Economic Development of Economy 2022;28:179-200. [DOI: 10.3846/tede.2021.15884] [Cited by in Crossref: 24] [Cited by in F6Publishing: 24] [Article Influence: 12.0] [Reference Citation Analysis]
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33 Tian X, Li W, Liu L, Kou G. Development of TODIM with different types of fuzzy sets: A state-of the-art survey. Applied Soft Computing 2021;111:107661. [DOI: 10.1016/j.asoc.2021.107661] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
34 Xiong S, Chen Z, Chiclana F, Chin K, Skibniewski MJ. Proportional hesitant 2‐tuple linguistic distance measurements and extended VIKOR method: Case study of evaluation and selection of green airport plans. Int J of Intelligent Sys 2022;37:4113-62. [DOI: 10.1002/int.22714] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
35 Ye J, Chen T. Selection of Cotton Fabrics Using Pythagorean Fuzzy TOPSIS Approach. Journal of Natural Fibers 2021. [DOI: 10.1080/15440478.2021.1982439] [Reference Citation Analysis]
36 Alsalem MA, Mohammed R, Albahri OS, Zaidan AA, Alamoodi AH, Dawood K, Alnoor A, Albahri AS, Zaidan BB, Aickelin U, Alsattar H, Alazab M, Jumaah F. Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature. Int J Intell Syst. [DOI: 10.1002/int.22699] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 5.0] [Reference Citation Analysis]
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38 Lei F, Wei G, Chen X. Some self-evaluation models of enterprise’s credit based on some probabilistic double hierarchy linguistic aggregation operators. IFS 2021;40:11809-28. [DOI: 10.3233/jifs-202922] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 6.5] [Reference Citation Analysis]
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40 Sivagami R, Krishankumar R, Sangeetha V, Ravichandran KS, Kar S, Gandomi AH. Assessment of cloud vendors using interval‐valued probabilistic linguistic information and unknown weights. Int J Intell Syst 2021;36:3813-51. [DOI: 10.1002/int.22439] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
41 Gou X, Xu Z. Managing noncooperative behaviors in large-scale group decision-making with linguistic preference orderings: The application in Internet Venture Capital. Information Fusion 2021;69:142-55. [DOI: 10.1016/j.inffus.2020.12.003] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 7.5] [Reference Citation Analysis]
42 Zhao M, Shen X, Liao H, Cai M. Selecting products through text reviews: An MCDM method incorporating personalized heuristic judgments in the prospect theory. Fuzzy Optim Decis Making. [DOI: 10.1007/s10700-021-09359-8] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
43 Du Y, Fang J, Wang P, Zeng S. Ecological Security Evaluation of Marine Ranching Based on DEMATEL-Fuzzy Comprehensive Evaluation. Mathematical Problems in Engineering 2021;2021:1-14. [DOI: 10.1155/2021/6688110] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
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