Fakülteler / Faculties

Permanent URI for this communityhttps://hdl.handle.net/11727/1395

Browse

Filters

2020 - 20214

Settings

Author: search.filters.author.Ic, Yusuf TanselSubject: search.filters.subject.Multi-criteria decision making

Search Results

Now showing 1 - 4 of 4
  • No Thumbnail Available
    Item
    The development of a reviewer selection method: a multi-level hesitant fuzzy VIKOR and TOPSIS approaches
    (2021) Kocak, Serdar; Ic, Yusuf Tansel; Atalay, Kumru Didem; Sert, Mustafa; Dengiz, Berna; 0000-0001-9274-7467; AGE-3003-2022
    This paper proposes a new approach for the selection of reviewers to evaluate research and development (R&D) projects using a new integrated hesitant fuzzy VIKOR and TOPSIS methodology. A reviewer selection model must have a multi-level framework in which reviewer selection strategies and related objectives guide the second level of the reviewer performance ranking process. The model must measure reviewer performance related to the activities that are necessary for the R&D project evaluation to be successful. A novel model is presented in this paper. In the proposed methodology, the aim is to select a reviewer in a hierarchical decision-making structure. The selection criteria values and their weights were obtained using the hesitant fuzzy VIKOR method. For the selection of a suitable reviewer, the conventional TOPSIS model was used. We developed a simpler procedure for effectively performing the reviewer selection process. The new approach was tested with a real case study and satisfactory results were obtained. A comparative analysis is also included in the article for illustrative purposes.
  • No Thumbnail Available
    Item
    Selecting the field hospital location for earthquakes: an application for Ankara Province in Turkey
    (2021) Barutcu, Inanc; Ic, Yusuf Tansel; 0000-0001-9274-7467; AGE-3003-2022
    Purpose The authors present a location selection model for the field hospital to build after a possible earthquake in Ankara, Turkey using the VIKOR method. Design/methodology/approach Companies or governments that make location selection decisions to improve their performance in new investment decisions for different service industries. On the other hand, disasters, especially earthquakes, force the governments to evaluate their existing potentialities and develop action plans to improve their middle and long-term preparations. This paper proposes a VIKOR method-based location selection model for the field hospital to build after a possible earthquake. Also, the authors present a methodology using the VIKOR method that how government agencies take action for the field hospital's location selection process via VIKOR methodology. Findings The modeling and application results show that the field hospital's location selection decision-making process improves considerably using the VIKOR model. This paper shows that the proposed VIKOR-based model can rank alternatives suitability at various criteria targeting to minimize the possible earthquake's impact and obtains a single overall ranking score to select the best alternative. Research limitations/implications The study does not consider the uncertain nature of the field hospital selection problem. The application part is restricted to the Ankara case. But the proposed model can easily extend for different locations in the world. Originality/value This paper presents the multi-criteria decision-making (MCDM) framework study of the establishment of field hospitals and demonstrates its importance when criteria diversity is restricted.
  • No Thumbnail Available
    Item
    A Multi-Objective Credit Evaluation Model Using MOORA Method and Goal Programming
    (2020) Ic, Yusuf Tansel
    The selection process of a suitable credit applicant firm becomes a more complex decision making process as the decision makers in the banking industries have to assess a wide range of firms based on a set of conflicting financial ratios. This study investigates the new model of the multi-objective optimization on the basis of ratio analysis and the goal programming method together to solve credit lending decision making problems for firms as frequently encountered in real-time commercial banking environments. A multi-objective credit evaluation model is developed to use in all the stages of the credit evaluation process.
  • No Thumbnail Available
    Item
    An improved decision support system for ABC inventory classification
    (2020) Eraslan, Ergun; Ic, Yusuf Tansel
    In this study, an Improved Decision Support System (IDSS) is developed to help the decision makers in their inventory classification decisions. For the first time in this paper, the novel IDSS for ABC classification is developed. Certain new algorithms regarding the manufacturing company's features are applied in a framework of IDSS. The IDSS is developed as modular structure and provided the integrated modules of "Data-Base" and "ABC Analysis". In the developed IDSS, the appropriate ABC classification models are considered among Annual Dollar Usage (ADU), Analytic Hierarchy Process (AHP), Scoring (SCR), Fuzzy C-means Algorithm (FCM), and Analytic Network Process (ANP). Some issues and applicability of the IDSS are illustrated with real case problems in the paper. The proposed IDSS software is considerably decreased the time for the inventory classification. In the meantime it could be easily used in various sectors. Therefore, the proposed IDSS significantly contributed to obtaining more accurate and quickly modifiable ABC classification in real cases. Furthermore, the user friendly software can be updated readily according to recent developments in the market.