Browsing by Author "Tuzkaya,G."
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Conference Object Citation Count: 6An Integrated IVIF-DEMATEL and IVIF-TOPSIS Methodology for Hotel Information System Selection(Springer, 2021) Erkal,G.; Kilic,H.S.; Kalender,Z.T.; Yalcin,A.S.; Tuzkaya,G.The importance of information technologies in hotels has increased more in recent years due to the variety of required processes and the level of competitiveness in the sector. Depending on their contribution to creating value and increasing efficiency, hotel enterprises make important investments in information technologies. However, there are various criteria and alternatives in the selection process of the most suitable hotel information system. Moreover, the criteria affect each other in a fuzzy decision-making environment. Hence, two techniques are utilized synergistically in this study. IVIF-DEMATEL is initially performed to obtain the importance degrees of the criteria. Afterward, IVIF-TOPSIS is applied to reach the final rankings. An application is performed considering the case in the Turkish tourism sector, and the alternatives are ranked. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.Article Citation Count: 51A multi-criteria decision making approach for machine tool selection problem in a fuzzy environment(2011) Özgen,A.; Tuzkaya,G.; Tuzkaya,U.R.; Özgen,D.Tools and machines have an important effect on the manufacturing operations' effectiveness and the selection process of appropriate tools and machines is a complex issue with the consideration of multiple criteria. Considering the complexity of the problem area and the difficulties in machine tools evaluation processes, the main purpose of this study is to present a novel and effective methodology for machine tool selection problem. The proposed methodology constituted for this aim combines the modified DELPHI method, AHP (Analytical Hierarchy Process) and PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) approaches with fuzzy sets theory to be able to reflect the vagueness related to judgment of the decision-maker(s). A real life application is realized for pressing machine selection problem of a fixing products manufacturer from Turkey, Istanbul. The results of the proposed approach are compared with the results of fuzzy AHP–fuzzy TOPSIS approach. Additionally, sensitivity analyses are realized to show the changes in the results with the change in the criteria weights. © 2011 Taylor & Francis Group, LLC.