Endüstri Mühendisliği Bölümü Koleksiyonu

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Browsing Endüstri Mühendisliği Bölümü Koleksiyonu by Subject "AHP"

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    Article
    Citation Count: 47
    A fuzzy AHP-PROMETHEE II approach for evaluation of solar power plant location alternatives in Turkey
    (IOS Press, 2017) Samanlıoğlu, Funda; Ayağ, Zeki
    Solar energy produced through a solar power plant is a freely available non-polluting renewable source of energy that reduces the greenhouse effect. Selecting the best location for a solar power plant among several location alternatives is a complicated multiple criteria decision making (MCDM) problem since several potentially conflicting quantitative and qualitative criteria needs to be taken into consideration. In this paper of the most commonly used MCDM methods in literature
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    Article
    Citation Count: 11
    A fuzzy AHP-VIKOR approach for evaluation of educational use simulation software packages
    (IOS Press, 2019) Samanlıoğlu, Funda; Ayağ, Zeki
    In this study, an intelligent, integrated approach is presented to help educators select the best simulation software package. Selecting the best simulation software package for educational use is a complex multiple criteria decision making (MCDM) problem with several potentially conflicting quantitative and qualitative criteria. In this paper, two fuzzy MCDM methods; fuzzy Analytic Hierarchy Process (F-AHP) and fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (F-VIKOR) are integrated to evaluate educational use simulation software package alternatives. In the proposed fuzzy AHP-VIKOR approach, F-AHP is used to determine the fuzzy criteria weights and F-VIKOR is applied to rank simulation software package alternatives with respect to these criteria. A case study is given where several educational use simulation software packages in Turkey are evaluated and ranked.
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    Article
    Citation Count: 14
    An intelligent approach for the evaluation of innovation projects
    (IOS Press, 2020) Samanlıoğlu, Funda; Ayağ, Zeki
    In this study, an intelligent approach is presented for the evaluation and selection of innovation projects. Selecting the best innovation project is a complicated multiple criteria decision making (MCDM) problem with several potentially competing quantitative and qualitative criteria. In this paper, two hesitant fuzzy MCDM methods; hesitant fuzzy Analytic Hierarchy Process (hesitant F-AHP) and hesitant fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (hesitant F-VIKOR) are integrated to evaluate and rank innovation projects. In the hesitant fuzzy AHP-VIKOR, hesitant F-AHP is used to find fuzzy evaluation criteria weights and hesitant F-VIKOR is implemented to rank innovation project alternatives. A numerical example is given where five innovation projects are evaluated based on nine criteria by three decision makers.