181 related articles for article (PubMed ID: 33286032)
21. Evaluating lecturer performance in Vietnam: An application of fuzzy AHP and fuzzy TOPSIS methods.
Do QH; Tran VT; Tran TT
Heliyon; 2024 Jun; 10(11):e30772. PubMed ID: 38933935
[TBL] [Abstract][Full Text] [Related]
22. Multicriteria decision making and goal programming for determination of electric automobile aimed at sustainable green environment: a case study.
Hamurcu M; Eren T
Environ Syst Decis; 2023; 43(2):211-231. PubMed ID: 36118127
[TBL] [Abstract][Full Text] [Related]
23. Negation of Pythagorean Fuzzy Number Based on a New Uncertainty Measure Applied in a Service Supplier Selection System.
Mao H; Cai R
Entropy (Basel); 2020 Feb; 22(2):. PubMed ID: 33285970
[TBL] [Abstract][Full Text] [Related]
24. Natural gas based on combined fuzzy TOPSIS technique and entropy.
Fahmi A; Khan A; Thabet Abdeljawad ; Alqudah MA
Heliyon; 2024 Jan; 10(1):e23391. PubMed ID: 38192751
[TBL] [Abstract][Full Text] [Related]
25. A novel drug selection decision support model based on real-world medical data by the hybrid entropic weight TOPSIS method.
Lu J; Wang G; Ying X; Li Z
Technol Health Care; 2023; 31(2):691-703. PubMed ID: 36278366
[TBL] [Abstract][Full Text] [Related]
26. Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets.
Kiracı K; Akan E
J Air Transp Manag; 2020 Oct; 89():101924. PubMed ID: 32989347
[TBL] [Abstract][Full Text] [Related]
27. An integrated fuzzy approach for strategic alliance partner selection in third-party logistics.
Erkayman B; Gundogar E; Yilmaz A
ScientificWorldJournal; 2012; 2012():486306. PubMed ID: 23365520
[TBL] [Abstract][Full Text] [Related]
28. An integrated model for rice supplier selection strategies and a comparative analysis of fuzzy multicriteria decision-making approaches based on the fuzzy entropy weight method for evaluating rice suppliers.
Magableh GM
PLoS One; 2024; 19(4):e0301930. PubMed ID: 38635565
[TBL] [Abstract][Full Text] [Related]
29. Green Supplier Selection Using Fuzzy Multiple-Criteria Decision-Making Methods and Artificial Neural Networks.
Gegovska T; Koker R; Cakar T
Comput Intell Neurosci; 2020; 2020():8811834. PubMed ID: 33082775
[TBL] [Abstract][Full Text] [Related]
30. Integrated AHP-TOPSIS under a Fuzzy Environment for the Selection of Waste-To-Energy Technologies in Ghana: A Performance Analysis and Socio-Enviro-Economic Feasibility Study.
Afrane S; Ampah JD; Agyekum EB; Amoh PO; Yusuf AA; Fattah IMR; Agbozo E; Elgamli E; Shouran M; Mao G; Kamel S
Int J Environ Res Public Health; 2022 Jul; 19(14):. PubMed ID: 35886280
[TBL] [Abstract][Full Text] [Related]
31. Hybrid Methodology to Improve Health Status Utility Values Derivation Using EQ-5D-5L and Advanced Multi-Criteria Techniques.
Vásquez J; Botero S
Int J Environ Res Public Health; 2020 Feb; 17(4):. PubMed ID: 32098423
[TBL] [Abstract][Full Text] [Related]
32. Integrated TOPSIS-COV approach for selecting a sustainable PET waste management technology: A case study in Qatar.
Al-Thani NA; Al-Ansari T; Haouari M
Heliyon; 2022 Aug; 8(8):e10274. PubMed ID: 36061036
[TBL] [Abstract][Full Text] [Related]
33. Prioritization of water erosion-prone sub-watersheds using three ensemble methods in Qareaghaj catchment, southern Iran.
Pourghasemi HR; Honarmandnejad F; Rezaei M; Tarazkar MH; Sadhasivam N
Environ Sci Pollut Res Int; 2021 Jul; 28(28):37894-37917. PubMed ID: 33723776
[TBL] [Abstract][Full Text] [Related]
34. Flood risk assessment of Wuhan, China, using a multi-criteria analysis model with the improved AHP-Entropy method.
Chen Y; Wang D; Zhang L; Guo H; Ma J; Gao W
Environ Sci Pollut Res Int; 2023 Sep; 30(42):96001-96018. PubMed ID: 37561303
[TBL] [Abstract][Full Text] [Related]
35. Addressing the supplier selection problem by using the analytical hierarchy process.
Manik MH
Heliyon; 2023 Jul; 9(7):e17997. PubMed ID: 37519742
[TBL] [Abstract][Full Text] [Related]
36. An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics.
Tavana M; Shaabani A; Santos-Arteaga FJ; Valaei N
Environ Sci Pollut Res Int; 2021 Oct; 28(38):53953-53982. PubMed ID: 34043173
[TBL] [Abstract][Full Text] [Related]
37. Bottled water quality ranking via the multiple-criteria decision-making process: a case study of two-stage fuzzy AHP and TOPSIS.
Nabizadeh R; Yousefzadeh S; Yaghmaeian K; Alimohammadi M; Mokhtari Z
Environ Sci Pollut Res Int; 2022 Mar; 29(14):20437-20448. PubMed ID: 34735703
[TBL] [Abstract][Full Text] [Related]
38. New approach for selecting a suitable recycling collection program for recovered paper and pulp recyclables using AHP-TOPSIS techniques.
Bafail OA; Abdulaal RM
Waste Manag Res; 2021 Nov; 39(11):1406-1413. PubMed ID: 33759660
[TBL] [Abstract][Full Text] [Related]
39. AHP and TOPSIS based flood risk assessment- a case study of the Navsari City, Gujarat, India.
Pathan AI; Girish Agnihotri P; Said S; Patel D
Environ Monit Assess; 2022 Jun; 194(7):509. PubMed ID: 35713716
[TBL] [Abstract][Full Text] [Related]
40. Evaluation of community basic public health service effect in a city in Inner Mongolia Autonomous Region--based on entropy weight TOPSIS method and RSR fuzzy set.
Dai X; Jiang Y; Li Y; Wang X; Wang R; Zhang Y
Arch Public Health; 2023 Aug; 81(1):149. PubMed ID: 37592329
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
