Loji̇sti̇k Fi̇rma Web Si̇teleri̇ni̇n Performanslarinin Çok Kri̇terli̇ Değerlendi̇ri̇lmesi̇

Büyüközkan, Gülçin; Güleryüz, Sezin

doi:10.17341/gazimmfd.278444

Cited by 11 publications

(6 citation statements)

References 23 publications

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“…Adalı and Is ¸ık [37] applied Organization, Rangement Et Synthese De Donnes Relationnelles (ORESTE) method to rank web design firms for a textile company in Turkey. Büyüközkan and Güleryüz [38] used fuzzy AHP to determine criteria weights and then F-TOPSIS to rank logistics firms' websites. Rouyendegh et al [39] applied AHP and Intuitionistic Fuzzy TOPSIS to evaluate the performance of e-commerce websites.…”

Section: Literature Reviewmentioning

confidence: 99%

An Integrated Fuzzy Best-Worst-TOPSIS Method for Evaluation of Hotel Website and Digital Solutions Provider Firms

Samanlıoğlu

Burnaz

Diş

et al. 2020

Advances in Fuzzy Systems

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In todayʼs world where technology is rapidly evolving, hotels need to be the best in all conditions to be one step ahead of other competitors. Digital marketing and hotel website solutions play a lead role in this competition. Therefore, hotel websites need to be innovative, user-friendly, and descriptive. The main purpose of the study is to evaluate and rank potential hotel websites and digital solutions provider firms. Since there are various potentially competing quantitative and qualitative criteria to take into consideration in the decision-making process, a multicriteria decision-making (MCDM) method is needed. As the MCDM method, fuzzy best-worst method (FBWM) is integrated with the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (F-TOPSIS). In this integration, FBWM is applied to determine fuzzy evaluation criteria weights and then F-TOPSIS is implemented to rank alternatives utilizing the obtained fuzzy weights. A case study is presented, where 4 alternative hotel websites and digital solutions provider firms for Paloma Hotels in Turkey are evaluated based on 9 criteria by 3 hotel managers.

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Section: Literature Reviewmentioning

confidence: 99%

An Integrated Fuzzy Best-Worst-TOPSIS Method for Evaluation of Hotel Website and Digital Solutions Provider Firms

Samanlıoğlu

Burnaz

Diş

et al. 2020

Advances in Fuzzy Systems

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“…Like fuzzy AHP propositions, some propositions in the literature [14][15][16][17][18][19][20] prefers defuzzification at the beginning of the solutions to generate crisp decision matrix for crisp TOPSIS calculations. The other fuzzy TOPSIS propositions in the literature [21][22][23] complete all calculations with FN until the end of solutions. Defuzzifications in these studies are done at the end of fuzzy TOPSIS propositions from the fuzzy weights of alternatives.…”

Section: Fuzzy Topsismentioning

confidence: 99%

“…Fuzzy TOPSIS simulations in this study is carried out with fuzzy TOPSIS method proposed by Büyüközkan and Güleryüz [23]. Like the reason in fuzzy AHP proposition, calculations of the proposed fuzzy TOPSIS is conducted with FN from the beginning to the end of the proposition.…”

Section: Fuzzy Topsismentioning

confidence: 99%

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The Importance of The Place of Defuzzification Step In Fuzzy Systems

Çelikbilek¹

2019

Sakarya University Journal of Science

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Fuzzy logic and fuzzy based techniques are applied constantly in both social sciences and engineering sciences for fuzzy systems. However, theoretical content is neglected occasionally in these developed methods. Even sometimes, propositions and applications are developed by using fuzzy numbers ignoring theoretical contents. In some cases, there are lots of different fuzzy solution propositions of same crisp method. Because of these, despite applying similar methods to same data set, very different results can be obtained. Fuzzy multi criteria decision making method propositions are evaluated by using simulation technique in this study to explore and compare the results of fuzzy applications. Simulation applications are applied to AHP, TOPSIS, VIKOR and MOORA methods which are the most common multi criteria decision making methods as both crisp and fuzzy in the literature. Obtained results are evaluated and interpreted for both selection of the best alternative and ranking of all alternatives. All obtained results of simulation applications show that defuzzified results are significantly different than each other for each multi criteria decision making method and each different defuzzification step.

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“…[22] Medikal depo yeri seçimi AHP, ANP Oral vd. [23] Tehlikeli madde depo yeri seçimi AHP, ANP [24,25], enerji [26,27] ve lojistik [28] gibi birçok sektörde bakım planlaması [29], teknoloji seçimi [30], personel seçimi [31] ve strateji seçimi [32] gibi farklı problem tiplerinde geniş uygulama alanına sahiptir. x ve y alternatiflerinin tercih indeksi wj (j=1,2,…k) ağırlıklarına sahip k kriterini hesaplamak için kullanılan formül (5)'te verilmiştir.…”

Section: Gi̇ri̇ş (Introduction)unclassified

Pandemi Sürecinde Sürdürülebilir Tedarik Zinciri Yönetimi için İlaç Deposu ve Aşı Dağıtım Merkezi Yeri Seçimi

Oral¹,

Yapici²,

YUMUŞAK³

et al. 2022

Politeknik Dergisi

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Loji̇sti̇k Fi̇rma Web Si̇teleri̇ni̇n Performanslarinin Çok Kri̇terli̇ Değerlendi̇ri̇lmesi̇

Abstract: Web sitesi kalite performansının değerlendirilmesi  Çok kriterli karar verme tekniklerinin uygulanması

Cited by 11 publications

References 23 publications

An Integrated Fuzzy Best-Worst-TOPSIS Method for Evaluation of Hotel Website and Digital Solutions Provider Firms

An Integrated Fuzzy Best-Worst-TOPSIS Method for Evaluation of Hotel Website and Digital Solutions Provider Firms

The Importance of The Place of Defuzzification Step In Fuzzy Systems

Pandemi Sürecinde Sürdürülebilir Tedarik Zinciri Yönetimi için İlaç Deposu ve Aşı Dağıtım Merkezi Yeri Seçimi

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