A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method

被引:69
|
作者
Dogan, Onur [1 ]
Deveci, Muhammet [2 ,3 ]
Canitez, Fatih [4 ]
Kahraman, Cengiz [5 ]
机构
[1] Izmir Bakircay Univ, Dept Ind Engn, TR-35665 Izmir, Turkey
[2] Natl Def Univ, Naval Acad, Dept Ind Engn, TR-34940 Istanbul, Turkey
[3] Univ Nottingham, Sch Comp Sci, Asap Res Grp, Nottingham NG8 1BB, England
[4] Univ Istanbul Tech, Fac Management, Dept Management Engn, TR-34367 Istanbul, Turkey
[5] Univ Istanbul Tech, Fac Management, Dept Ind Engn, TR-34367 Istanbul, Turkey
关键词
Autonomous vehicles; Corridor selection; Interval-valued intuitionistic fuzzy sets; Multi-criteria decision-making; AHP; TOPSIS; DECISION-MAKING METHODS; PUBLIC TRANSPORTATION; PERFORMANCE EVALUATION; CONTROLLER; PRIORITIZATION; ALTERNATIVES; PREFERENCES; DOMINANCE; BARRIERS; TRACKING;
D O I
10.1007/s00500-019-04421-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Autonomous vehicles (AVs) provide a new mobility option and have been becoming widespread around the world. They can be used not only as automobiles but also as public transport vehicles in the form of shuttles, buses and pods. One of the problem areas in implementing AVs as a public transport vehicle is to choose a suitable road for operating them. A fuzzy decision model combining analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) techniques with intuitionistic fuzzy sets is used to solve this problem. The results show that the BRT corridor is the most suitable option for operating AVs according to the decision criteria. Furthermore, operating AVs on a BRT corridor provides an unprecedented service provision approach.
引用
收藏
页码:8937 / 8953
页数:17
相关论文
共 50 条
  • [1] A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method
    Onur Dogan
    Muhammet Deveci
    Fatih Canıtez
    Cengiz Kahraman
    [J]. Soft Computing, 2020, 24 : 8937 - 8953
  • [2] Interval-valued Intuitionistic Fuzzy TOPSIS method for Supplier Selection Problem
    Tiwari, Ashutosh
    Lohani, Q. M. Danish
    Muhuri, Pranab K.
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2020,
  • [3] Ranking method of interval-valued intuitionistic fuzzy numbers based on TOPSIS
    School of Science, Nanchang University, Nanchang
    330031, China
    [J]. Kongzhi yu Juece Control Decis, 11 (2014-2018):
  • [4] An extended TOPSIS method with interval-valued intuitionistic fuzzy numbers for virtual enterprise partner selection
    Ye, Fei
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (10) : 7050 - 7055
  • [5] Interval-Valued Pythagorean Fuzzy AHP&TOPSIS for ERP Software Selection
    Dalyan, Tugba
    Otay, Irem
    Gulada, Mehmet
    [J]. INTELLIGENT AND FUZZY SYSTEMS: DIGITAL ACCELERATION AND THE NEW NORMAL, INFUS 2022, VOL 2, 2022, 505 : 702 - 710
  • [6] TOPSIS method for interval-valued intuitionistic fuzzy multiple attribute decision making
    Wei, Guiwu
    Wang, Xiaorong
    [J]. PROCEEDINGS OF THE 2007 CONFERENCE ON SYSTEMS SCIENCE, MANAGEMENT SCIENCE AND SYSTEM DYNAMICS: SUSTAINABLE DEVELOPMENT AND COMPLEX SYSTEMS, VOLS 1-10, 2007, : 2243 - 2249
  • [7] An improved-based TOPSIS method in interval-valued intuitionistic fuzzy environment
    Surendra Singh Gautam
    Shiva Raj Abhishekh
    [J]. Life Cycle Reliability and Safety Engineering, 2018, 7 (2) : 81 - 88
  • [8] An Interval-Valued Intuitionistic Fuzzy TOPSIS Method Based on an Improved Score Function
    Bai, Zhi-yong
    [J]. SCIENTIFIC WORLD JOURNAL, 2013,
  • [9] IoT Platform Selection Using Interval Valued Intuitionistic Fuzzy TOPSIS
    Onar, Sezi Cevik
    Kahraman, Cengiz
    Oztaysi, Basar
    [J]. INTELLIGENT AND FUZZY SYSTEMS: DIGITAL ACCELERATION AND THE NEW NORMAL, INFUS 2022, VOL 1, 2022, 504 : 656 - 664
  • [10] IoT Platform Selection Using Interval Valued Intuitionistic Fuzzy TOPSIS
    Onar, Sezi Cevik
    Kahraman, Cengiz
    Oztaysi, Basar
    [J]. INTELLIGENT AND FUZZY SYSTEMS: DIGITAL ACCELERATION AND THE NEW NORMAL, INFUS 2022, VOL 2, 2022, 505 : 693 - 701