Landfill site selection using fuzzy AHP and fuzzy TOPSIS: a case study for Istanbul

被引:0
|
作者
Ahmet Beskese
H. Handan Demir
H. Kurtulus Ozcan
H. Eser Okten
机构
[1] Bahcesehir University,Department of Industrial Engineering, Faculty of Engineering
[2] Bahcesehir University,Department of Business Administration, Vocational School
[3] Istanbul University,Department of Environmental Engineering, Faculty of Engineering
[4] Bahcesehir University,Department of Environmental Engineering, Faculty of Engineering
来源
关键词
Municipal solid waste; Landfill site selection; Fuzzy AHP; Fuzzy TOPSIS;
D O I
暂无
中图分类号
学科分类号
摘要
Landfill site selection is a multi-attribute decision problem, through which factors like available land area, soil conditions, climatological conditions, and economic considerations are investigated in detail. Frequently, it is a challenge to come up with “the one” solution while tackling such complex systems. Therefore, use of tools such as fuzzy analytic hierarchy process (fuzzy AHP) and fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) should be preferred in order to emphasize pros and cons for each of the studied options. In this study, three possible landfill sites for the city of Istanbul are evaluated through expert opinion and by facilitating fuzzy AHP and fuzzy TOPSIS. Initially, the landfill site selection problem is presented in the framework of a model and then the model is mathematically solved by calculating the individual criterion weights. In conclusion, considering the rapid rate of urbanization for the city of Istanbul, the possible landfill sites convey similar overall results, but differ in specific criteria.
引用
收藏
页码:3513 / 3521
页数:8
相关论文
共 50 条
  • [31] Comparison of fuzzy AHP and fuzzy TODIM methods for landfill location selection
    Hanine, Mohamed
    Boutkhoum, Omar
    Tikniouine, Abdessadek
    Agouti, Tarik
    SPRINGERPLUS, 2016, 5
  • [32] Cargo type selection procedure using fuzzy AHP and fuzzy TOPSIS techniques: 'the case of dry bulk cargo ships'
    Ozdemir, Unal
    Guneroglu, Abdulaziz
    INTERNATIONAL JOURNAL OF SHIPPING AND TRANSPORT LOGISTICS, 2018, 10 (03) : 259 - 280
  • [33] CITY LOGISTICS TERMINAL LOCATION SELECTION USING COMBINED FUZZY AHP AND FUZZY TOPSIS ANALYSIS
    Tadic, Snezana
    Zecevic, Slobodan
    Krstic, Mladen
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON TRAFFIC AND TRANSPORT ENGINEERING (ICTTE), 2012, : 345 - 357
  • [34] Selection model of chemical tanker ships for cargo types using fuzzy AHP and fuzzy TOPSIS
    Arican, Ozan Hikmet
    Kara, Esma Gul Emecen
    REGIONAL STUDIES IN MARINE SCIENCE, 2024, 78
  • [35] Site selection for WWTP using Fuzzy AHP with GIS: a case study in Bent Saidane, Tunisia
    Chaabane, Safa
    Ghattassi, Anis
    Mensi, Khitem
    M'hiri, Fadhel
    De Ketelaere, Dirk
    Spiteri, Anna
    Plakas, Konstantinos
    JOURNAL OF ENVIRONMENTAL ENGINEERING AND SCIENCE, 2024, 19 (04) : 262 - 272
  • [36] Performance appraisement of supplier selection in construction company with Fuzzy AHP, Fuzzy TOPSIS, and DEA: A case study based approach
    Deepika, S.
    Anandakumar, S.
    Kumar, M. Bhuvanesh
    Baskar, C.
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 45 (06) : 10515 - 10528
  • [37] SYSTEMATIC SELECTION OF BLOCKCHAIN PLATFORMS USING FUZZY AHP-TOPSIS
    Muradi, Shahr Banoo
    Chiam, Yin Kia
    MALAYSIAN JOURNAL OF COMPUTER SCIENCE, 2023, 36 (02) : 99 - 123
  • [38] Weapon selection using the AHP and TOPSIS methods under fuzzy environment
    Dagdeviren, Metin
    Yavuz, Serkan
    Kilinc, Nevzat
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (04) : 8143 - 8151
  • [39] Selection of Project Managers in Construction Firms Using Analytic Hierarchy Process (AHP) and Fuzzy Topsis: A Case Study
    Torfi, Fatemeh
    Rashidi, Abbas
    JOURNAL OF CONSTRUCTION IN DEVELOPING COUNTRIES, 2011, 16 (01) : 69 - 89
  • [40] Landfill site selection using integrated fuzzy logic and analytic hierarchy process (AHP) in lake basins
    Erhan Şener
    Şehnaz Şener
    Arabian Journal of Geosciences, 2020, 13