Air Combat Effectiveness Assessment of Military Aircraft Using a Fuzzy AHP and TOPSIS Methodology

被引:0
|
作者
Wang, Jianrong [1 ]
Fan, Kai [1 ]
Su, Yingying [1 ]
Liang, Shuang [1 ]
Wang, Wanshan [1 ]
机构
[1] Northeastern Univ, Sch Mech Engn & Automat, Shenyang, Liaoning Prov, Peoples R China
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Air combat is the basic operational means of Air Force. This paper models the air combat effectiveness assessment problem as a multi-criteria decision making (MCDM) problem and proposes a two-step evaluation model, combining the technique of fuzzy AHP (fuzzy analytic hierarchy process) and TOPSIS (technique for order performance by similarity to idea solution). This study applies the fuzzy AHP method to determine the relative weights of multiple evaluation criteria and to synthesize the ratings of candidate aircraft. Aggregated the evaluators' attitude toward preference; then TOPSIS is employed to obtain a crisp overall performance value for each alternative to make a final decision. To illustrate how the approach is used for the air combat effectiveness assessment problem, an empirical study of a real case involving seven evaluation criteria, six initial military aircraft assessed by 15 experts is conducted. The case study demonstrates the effectiveness and feasibility of the proposed evaluation procedure.
引用
收藏
页码:655 / +
页数:3
相关论文
共 50 条
  • [1] An evaluation of quality goals by using fuzzy AHP and fuzzy TOPSIS methodology
    Tadic, Danijela
    Gumus, Alev Taskin
    Arsovski, Slavko
    Aleksic, Aleksandar
    Stefanovic, Miladin
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2013, 25 (03) : 547 - 556
  • [2] Governance Assessment of the Leader Approach in Calabria Using an Integrated AHP - Fuzzy TOPSIS Methodology
    Romeo, Giuseppa
    Marciano, Claudio
    [J]. NEW METROPOLITAN PERSPECTIVES: THE INTEGRATED APPROACH OF URBAN SUSTAINABLE DEVELOPMENT, 2014, 11 : 566 - 572
  • [3] Integration of fuzzy AHP and FPP with TOPSIS methodology for aeroengine health assessment
    Wang, Jianrong
    Fan, Kai
    Wang, Wanshan
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (12) : 8516 - 8526
  • [4] Combat Aircraft Effectiveness Assessment Using Hybrid Multi-Criteria Decision Making Methodology
    Wibowo, Agus Suryo
    ErnaPermanasari, Adhistya
    Fauziati, Silmi
    [J]. 2016 2ND INTERNATIONAL CONFERENCE ON SCIENCE AND TECHNOLOGY-COMPUTER (ICST), 2016,
  • [5] Fuzzy AHP TOPSIS Methodology for Multicriteria ABC Inventory Classification
    Paredes Rodriguez, Andres Mauricio Paredes
    Bastidas, Juan Jose Bravo
    Gomez, Juan Carlos Osorio
    Orozco, Diego Leon Pena
    Feliu, Jesus Gonzalez
    [J]. JOURNAL OF ENGINEERING, 2023, 2023
  • [6] Decision making under uncertainty using PEES–fuzzy AHP–fuzzy TOPSIS methodology for landfill location selection
    Hanine M.
    Boutkhoum O.
    Maknissi A.E.
    Tikniouine A.
    Agouti T.
    [J]. Environment Systems and Decisions, 2016, 36 (4) : 351 - 367
  • [7] Material selection in design for deconstruction using Kano model, fuzzy-AHP and TOPSIS methodology
    Zoghi, Milad
    Rostami, Ghodsiyeh
    Khoshand, Afshin
    Motalleb, Fatemeh
    [J]. WASTE MANAGEMENT & RESEARCH, 2022, 40 (04) : 410 - 419
  • [8] FUZZY MULTIPLE CRITERIA SUSTAINABILITY ASSESSMENT IN FOREST MANAGEMENT BASED ON AN INTEGRATED AHP-TOPSIS METHODOLOGY
    Dursun, Pinar
    Kaya, Tolga
    [J]. COMPUTATIONAL INTELLIGENCE: FOUNDATIONS AND APPLICATIONS: PROCEEDINGS OF THE 9TH INTERNATIONAL FLINS CONFERENCE, 2010, 4 : 438 - +
  • [9] COVID-19 Risk Assessment of Occupations Using Interval Type 2 Fuzzy Z-AHP & TOPSIS Methodology
    Sari, Irem Ucal
    Tuysuz, Nurdan
    [J]. JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, 2022, 38 (5-6) : 575 - 602
  • [10] An intuitionistic dense fuzzy AHP-TOPSIS method for military robot selection
    Swethaa, S.
    Felix, A.
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 44 (04) : 6749 - 6774