BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

195 related articles for article (PubMed ID: 34357491)

  • 1. Pandemic hospital site selection: a GIS-based MCDM approach employing Pythagorean fuzzy sets.
    Boyacı AÇ; Şişman A
    Environ Sci Pollut Res Int; 2022 Jan; 29(2):1985-1997. PubMed ID: 34357491
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment.
    Onüt S; Soner S
    Waste Manag; 2008; 28(9):1552-9. PubMed ID: 17768038
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluation of landfill sites using GIS-based MCDA with hesitant fuzzy linguistic term sets.
    Özkan B; Sarıçiçek İ; Özceylan E
    Environ Sci Pollut Res Int; 2020 Dec; 27(34):42908-42932. PubMed ID: 32725564
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Sanitary landfill site selection by integrating AHP and FTOPSIS with GIS: a case study of Memari Municipality, India.
    Ali SA; Parvin F; Al-Ansari N; Pham QB; Ahmad A; Raj MS; Anh DT; Ba LH; Thai VN
    Environ Sci Pollut Res Int; 2021 Feb; 28(6):7528-7550. PubMed ID: 33034852
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Site selection for waste vegetable oil and waste battery collection boxes: a GIS-based hybrid hesitant fuzzy decision-making approach.
    Çalış Boyacı A; Şişman A; Sarıcaoğlu K
    Environ Sci Pollut Res Int; 2021 Apr; 28(14):17431-17444. PubMed ID: 33398726
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A GIS-based multi-criteria decision-making method for the selection of potential municipal solid waste disposal sites in Mersin, Turkey.
    Bilgilioglu SS; Gezgin C; Orhan O; Karakus P
    Environ Sci Pollut Res Int; 2022 Jan; 29(4):5313-5329. PubMed ID: 34417701
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Implementation of fuzzy, Simos and strengths, weaknesses, opportunities and threats analysis for municipal solid waste landfill site selection: Adana City case study.
    Unal M; Cilek A; Guner ED
    Waste Manag Res; 2020 May; 38(1_suppl):45-64. PubMed ID: 31845834
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection: a case study for Prayagraj City, India.
    Tripathi AK; Agrawal S; Gupta RD
    GeoJournal; 2022; 87(5):3507-3528. PubMed ID: 34075269
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Solid waste disposal site selection with GIS and AHP methodology: a case study in Senirkent-Uluborlu (Isparta) Basin, Turkey.
    Sener S; Sener E; Karagüzel R
    Environ Monit Assess; 2011 Feb; 173(1-4):533-54. PubMed ID: 20213053
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Landfill siting for municipal solid waste using remote sensing and geographic information system integrated analytic hierarchy process and simple additive weighting methods from the point of view of a fast-growing metropolitan area in GAP area of Turkey.
    Karabulut Aİ; Yazici-Karabulut B; Derin P; Yesilnacar MI; Cullu MA
    Environ Sci Pollut Res Int; 2022 Jan; 29(3):4044-4061. PubMed ID: 34396479
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Landfill site selection via integrating multi-criteria decision techniques with geographic information systems: a case study in Naqadeh, Iran.
    Khorsandi H; Faramarzi A; Aghapour AA; Jafari SJ
    Environ Monit Assess; 2019 Nov; 191(12):730. PubMed ID: 31705330
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Selection of MSW landfill site by fuzzy-AHP approach combined with GIS: case study in Ahvaz, Iran.
    Chabok M; Asakereh A; Bahrami H; Jaafarzadeh NO
    Environ Monit Assess; 2020 Jun; 192(7):433. PubMed ID: 32542483
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Odor-aided analysis for landfill site selection: study of DOKAP Region, Turkey.
    Yildirim V; Uzun B; Memisoglu Baykal T; Terzi F; Atasoy BA
    Environ Sci Pollut Res Int; 2022 Feb; 29(7):10754-10770. PubMed ID: 34532791
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A fair bed allocation during COVID-19 pandemic using TOPSIS technique based on correlation coefficient for interval-valued pythagorean fuzzy hypersoft set.
    Zulqarnain RM; Ma WX; Siddique I; Ahmad H; Askar S
    Sci Rep; 2024 Apr; 14(1):7678. PubMed ID: 38561356
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An Integrated Fuzzy AHP and Fuzzy TOPSIS Approach to Assess Sustainable Urban Development in an Emerging Economy.
    Dang VT; Wang J; Van-Thac Dang W
    Int J Environ Res Public Health; 2019 Aug; 16(16):. PubMed ID: 31412685
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The applications of MCDM methods in COVID-19 pandemic: A state of the art review.
    Sotoudeh-Anvari A
    Appl Soft Comput; 2022 Sep; 126():109238. PubMed ID: 35795407
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Geospatial modelling of COVID-19 vulnerability using an integrated fuzzy MCDM approach: a case study of West Bengal, India.
    Malakar S
    Model Earth Syst Environ; 2022; 8(3):3103-3116. PubMed ID: 34604502
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Multi-Criteria Decision-Making Model with Interval-Valued Intuitionistic Fuzzy Sets for Evaluating Digital Technology Strategies in COVID-19 Pandemic Under Uncertainty.
    Salimian S; Mousavi SM
    Arab J Sci Eng; 2023; 48(5):7005-7017. PubMed ID: 36090763
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of product conceptual design based on Pythagorean fuzzy set under big data environment.
    Ma LD; Wang WX; Xie JW; Zhang N; Hu NF; Wang ZA
    Sci Rep; 2022 Dec; 12(1):22387. PubMed ID: 36575300
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Novel Multi-Criteria Decision-Making Model for Building Material Supplier Selection Based on Entropy-AHP Weighted TOPSIS.
    Chen CH
    Entropy (Basel); 2020 Feb; 22(2):. PubMed ID: 33286032
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.