A new plugin based on JSMAA: SWARA-JSMAA and aerobatic aircraft selection


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Durmaz K. I., Gencer C.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, vol.35, pp.1487-1498, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 35
  • Publication Date: 2020
  • Doi Number: 10.17341/gazimmfd.476610
  • Journal Name: JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Art Source, Compendex, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.1487-1498
  • Keywords: JSMAA, Stochastic multicriteria acceptability analysis, Step-wise weight assessment ratio analysis, aircraft selection, MULTICRITERIA DECISION-MAKING, ACCEPTABILITY ANALYSIS, TRAINING AIRCRAFT, TOPSIS, SMAA, DEMATEL, ANP
  • Gazi University Affiliated: Yes

Abstract

Determining the best option by decision makers is a very difficult process. Generally, decision-makers in different disciplines do not want to evaluate their choices for different disciplines so as not to influence the decision group or because they are not field experts. Stochastic Multi-Criteria Acceptability Analysis (SMAA) is one of the preferred multi-criteria decision-making (MCDM) methods, where information on the selection criteria is incomplete, information cannot be determined, information on the criterion cannot be trusted or preferences are not desired. Weight Assessment Ratio Analysis (SWARA) method, which is based on the method of evaluating the weight ratio of criteria, can be used in the case that decision makers do not agree on the evaluation, and it is seen as a method that includes simple and rapid processes according to known MCDM methods. In this study, a software for weight calculation of the SWARA method was performed and the related software was integrated into the JSMAA program and the SWARA-SMAA-2 method was proposed. The proposed method was first applied to the problem of drug benefit risk analysis in the literature and the results obtained were compared with other studies for this problem. As a result of the evaluations, it was seen that SWARA-SMAA-2 method gave reliable and consistent results. In the application part, the aerobatic aircraft selection was made by SMAA-2 and SWARA-SMAA-2 methods for the Turkish Air Force Command through the developed JSMAA program and the results were compared.