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Comparison of E-Commerce Sites with Pythagorean Fuzzy AHP and TOPSIS Methods

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Intelligent and Fuzzy Systems (INFUS 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 759))

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Abstract

Today, the rate of customers shopping on e-commerce sites is increasing day by day. Especially with the COVID-19 pandemic, which has entered our lives in recent days, a rapid trend towards e-commerce has occurred in the world and in Türkiye. For this reason, e-commerce sites need new marketing strategies and innovative practices in order to compete with each other. In order for e-commerce sites to be one step ahead of their competitors, the comments of customers who have shopped from that site before are of great importance. In this study, it is aimed to rank the e-commerce sites operating in Türkiye under the determined criteria. For this purpose, multi-criteria decision making (MCDM) methods, which are used to decide between alternatives in cases where there is more than one criterion, were used. In the study, first of all, the evaluation criteria of e-commerce sites were determined by interviewing consumers. Since the opinions of the consumers will vary from person to person, it is assumed that the information received from the consumers will be fuzzy and the weights of the criteria are determined with the Pythagorean Fuzzy Analytical Hierarchy Process (PFAHP). In the second part of the study, the criteria weights calculated with PFAHP and customer comments on e-commerce sites were calculated with the Pythagorean Fuzzy TOPSIS (PFTOPSIS) method and the ranking of e-commerce sites operating in Türkiye was made. These methods were computed by Microsoft Excel 2010. With the results obtained, the best e-commerce site was determined.

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Author information

Authors and Affiliations

  1. Department of Operations Research, National Defence University Alparslan, Defence Sciences and National Defence Institute, Ankara, Turkey

    Beste Desticioglu Tasdemir

  2. Department of Industrial Engineering, Faculty of Engineering, Gazi University, Ankara, Turkey

    Sena Kumcu & Bahar Ozyoruk

Authors
  1. Beste Desticioglu Tasdemir
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  2. Sena Kumcu
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  3. Bahar Ozyoruk
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Corresponding author

Correspondence to Beste Desticioglu Tasdemir .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Türkiye

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Türkiye

    Irem Ucal Sari

  3. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Türkiye

    Basar Oztaysi

  4. Department of Industrial Engineering, Yildiz Technical University, Istanbul, Türkiye

    Selcuk Cebi

  5. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Türkiye

    Sezi Cevik Onar

  6. Department of Industrial Engineering, Galatasaray University, Istanbul, Türkiye

    A. Çağrı Tolga

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Desticioglu Tasdemir, B., Kumcu, S., Ozyoruk, B. (2023). Comparison of E-Commerce Sites with Pythagorean Fuzzy AHP and TOPSIS Methods. In: Kahraman, C., Sari, I.U., Oztaysi, B., Cebi, S., Cevik Onar, S., Tolga, A.Ç. (eds) Intelligent and Fuzzy Systems. INFUS 2023. Lecture Notes in Networks and Systems, vol 759. Springer, Cham. https://doi.org/10.1007/978-3-031-39777-6_40

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