IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v173y2021ics0040162521005916.html
   My bibliography  Save this article

An intuitionistic fuzzy data-driven product ranking model using sentiment analysis and multi-criteria decision-making

Author

Listed:
  • Heidary Dahooie, Jalil
  • Raafat, Romina
  • Qorbani, Ali Reza
  • Daim, Tugrul

Abstract

With the advent of web 2.0 websites, the impact of customers on each other's purchasing decisions has increased, and this has changed the decision-making procedure, attitude, and consumer purchase behavior. Along with increasing the volume of customers' reviews on sites, the need for a method that can be used to rank alternative products considering a set of product features and the customer comments related to these features on websites is essential. Many attempts have been made aimed at product ranking through online customer reviews (OCRs), which have their own shortcomings. These limitations occur during different stages, including focusing only on specified features on online shopping sites or extracting features based on term frequency. Other limitations are not paying attention to low repetition, but to only important features (in identifying features), not paying attention to neutral expressions including hesitations or uncertainty in consumers’ purchase decisions (in identifying the sentiment orientations of each review), using expert-based approaches to determine the weight of features (in determining the weight of features), and ranking merely based on the star rating and ignoring the valuable information in OCRs or not considering the robustness of decision-making and most effective features (in ranking alternatives). Accordingly, this study aims to narrow these gaps by proposing an integrated framework that combines sentiment analysis (SA) and multi-criteria decision-making (MCDM) techniques based on intuitionistic fuzzy sets (IFS). In the following, the developed hybrid model has been used in a real-world case to rank five mobile phone products using the OCRs on the Amazon site to illustrate the availability and utility of the proposed methodology. Sensitivity analysis has been performed to determine the most robust method and most effective features.

Suggested Citation

  • Heidary Dahooie, Jalil & Raafat, Romina & Qorbani, Ali Reza & Daim, Tugrul, 2021. "An intuitionistic fuzzy data-driven product ranking model using sentiment analysis and multi-criteria decision-making," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    • Handle: RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521005916
    DOI: 10.1016/j.techfore.2021.121158
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162521005916
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2021.121158?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Barak, Sasan & Javanmard, Shima, 2020. "Outsourcing modelling using a novel interval-valued fuzzy quantitative strategic planning matrix (QSPM) and multiple criteria decision-making (MCDMs)," International Journal of Production Economics, Elsevier, vol. 222(C).
    3. Gaurav Kumar & N. Parimala, 2020. "An Integration of Sentiment Analysis and MCDM Approach for Smartphone Recommendation," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(04), pages 1037-1063, July.
    4. Edmundas Kazimieras Zavadskas & Valentinas Podvezko, 2016. "Integrated Determination of Objective Criteria Weights in MCDM," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 267-283, March.
    5. Yang Liu & Jian-Wu Bi & Zhi-Ping Fan, 2017. "A Method for Ranking Products Through Online Reviews Based on Sentiment Classification and Interval-Valued Intuitionistic Fuzzy TOPSIS," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1497-1522, November.
    6. Nastaran Chitsaz & Mohammad Banihabib, 2015. "Comparison of Different Multi Criteria Decision-Making Models in Prioritizing Flood Management Alternatives," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2503-2525, June.
    7. Demirkol, Denizhan & Seneler, Cagla & Daim, Tugrul & Shaygan, Amir, 2020. "Measuring emotional reactions of university students towards a Student Information System (SIS): A Turkish university case," Technology in Society, Elsevier, vol. 63(C).
    8. Himanshu Sharma & Abhishek Tandon & P. K. Kapur & Anu G. Aggarwal, 2019. "Ranking hotels using aspect ratings based sentiment classification and interval-valued neutrosophic TOPSIS," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 973-983, October.
    9. Alao, Moshood Akanni & Popoola, Olawale M. & Ayodele, Temitope Rapheal, 2021. "Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa," Renewable Energy, Elsevier, vol. 178(C), pages 162-183.
    10. He, Jun & Huang, Zilong & Mishra, Arunodaya Raj & Alrasheedi, Melfi, 2021. "Developing a new framework for conceptualizing the emerging sustainable community-based tourism using an extended interval-valued Pythagorean fuzzy SWARA-MULTIMOORA," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    11. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    12. Dong Zhang & Yongli Li & Chong Wu, 2020. "An extended TODIM method to rank products with online reviews under intuitionistic fuzzy environment," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(2), pages 322-334, February.
    13. Demırkol, Denizhan & Seneler, Cagla & Daım, Tugrul & Shaygan, Amir, 2020. "Measuring perceived usability of university students towards a student information system (SIS): A Turkish university case," Technology in Society, Elsevier, vol. 62(C).
    14. Hans VanDerSchaaf & Tugrul Daim, 2020. "Critical Factors Related to Student Success Technology," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1-13, October.
    15. Oded Netzer & Ronen Feldman & Jacob Goldenberg & Moshe Fresko, 2012. "Mine Your Own Business: Market-Structure Surveillance Through Text Mining," Marketing Science, INFORMS, vol. 31(3), pages 521-543, May.
    16. JUNQUÉ DE FORTUNY, Enric & DE SMEDT, Tom & MARTENS, David & DAELEMANS, Walter, 2012. "Media coverage in times of political crisis: a text mining approach," Working Papers 2012003, University of Antwerp, Faculty of Business and Economics.
    17. Mulliner, Emma & Malys, Naglis & Maliene, Vida, 2016. "Comparative analysis of MCDM methods for the assessment of sustainable housing affordability," Omega, Elsevier, vol. 59(PB), pages 146-156.
    18. Gunasekaran, A. & Marri, H. B. & McGaughey, R. E. & Nebhwani, M. D., 2002. "E-commerce and its impact on operations management," International Journal of Production Economics, Elsevier, vol. 75(1-2), pages 185-197, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lijie Feng & Kehui Liu & Jinfeng Wang & Kuo-Yi Lin & Ke Zhang & Luyao Zhang, 2022. "Identifying Promising Technologies of Electric Vehicles from the Perspective of Market and Technical Attributes," Energies, MDPI, vol. 15(20), pages 1-22, October.
    2. Liu, Fan & Liao, Huchang & Al-Barakati, Abdullah, 2023. "Physician selection based on user-generated content considering interactive criteria and risk preferences of patients," Omega, Elsevier, vol. 115(C).
    3. Yanlin Shi & Qingjin Peng, 2023. "Conceptual design of product structures based on WordNet hierarchy and association relation," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2655-2671, August.
    4. Sumin Yu & Xiaoting Zhang & Zhijiao Du & Yanyan Chen, 2023. "A New Multi-Attribute Decision Making Method for Overvalued Star Ratings Adjustment and Its Application in New Energy Vehicle Selection," Mathematics, MDPI, vol. 11(9), pages 1-32, April.
    5. Song, Yongming & Li, Yanhong & Zhu, Hongli & Li, Guangxu, 2023. "A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    6. Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
    7. Apostolidis, Chrysostomos & Devine, Anthony & Jabbar, Abdul, 2022. "From chalk to clicks – The impact of (rapid) technology adoption on employee emotions in the higher education sector," Technological Forecasting and Social Change, Elsevier, vol. 182(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Heidary Dahooie, Jalil & Qorbani, Ali Reza & Daim, Tugrul, 2021. "Providing a framework for selecting the appropriate method of technology acquisition considering uncertainty in hierarchical group decision-making: Case Study: Interactive television technology," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    2. Yavuz, Merve & Çorbacıoğlu, Eda & Başoğlu, Ahmet Nuri & Daim, Tugrul Unsal & Shaygan, Amir, 2021. "Augmented reality technology adoption: Case of a mobile application in Turkey," Technology in Society, Elsevier, vol. 66(C).
    3. Hu, Shuozhuo & Li, Jian & Yang, Fubin & Yang, Zhen & Duan, Yuanyuan, 2020. "Multi-objective optimization of organic Rankine cycle using hydrofluorolefins (HFOs) based on different target preferences," Energy, Elsevier, vol. 203(C).
    4. Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Valentinas Podvezko & Ieva Ubarte & Arturas Kaklauskas, 2017. "MCDM Assessment of a Healthy and Safe Built Environment According to Sustainable Development Principles: A Practical Neighborhood Approach in Vilnius," Sustainability, MDPI, vol. 9(5), pages 1-30, April.
    5. Audrius Čereška & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Valentinas Podvezko & Ina Tetsman & Irina Grinbergienė, 2016. "Sustainable Assessment of Aerosol Pollution Decrease Applying Multiple Attribute Decision-Making Methods," Sustainability, MDPI, vol. 8(7), pages 1-12, June.
    6. Jyoti Dhingra Darbari & Devika Kannan & Vernika Agarwal & P. C. Jha, 2019. "Fuzzy criteria programming approach for optimising the TBL performance of closed loop supply chain network design problem," Annals of Operations Research, Springer, vol. 273(1), pages 693-738, February.
    7. Hatami-Marbini, Adel & Emrouznejad, Ali & Tavana, Madjid, 2011. "A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making," European Journal of Operational Research, Elsevier, vol. 214(3), pages 457-472, November.
    8. Askoldas Podviezko & Lyudmila Parfenova & Andrey Pugachev, 2019. "Tax Competitiveness of the New EU Member States," JRFM, MDPI, vol. 12(1), pages 1-19, February.
    9. Basma Hamrouni & Abdelhabib Bourouis & Ahmed Korichi & Mohsen Brahmi, 2021. "Explainable Ontology-Based Intelligent Decision Support System for Business Model Design and Sustainability," Sustainability, MDPI, vol. 13(17), pages 1-28, September.
    10. Ali Mostafaeipour & Seyyed Jalaladdin Hosseini Dehshiri & Seyyed Shahabaddin Hosseini Dehshiri & Mehdi Jahangiri & Kuaanan Techato, 2020. "A Thorough Analysis of Potential Geothermal Project Locations in Afghanistan," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    11. Paulo Antônio Xavier Furtado & Antônio Vanderley Herrero Sola, 2020. "Fuzzy Complex Proportional Assessment Applied in Location Selection for Installation of Photovoltaic Plants," Energies, MDPI, vol. 13(23), pages 1-20, November.
    12. Hocine, Amine & Kouaissah, Noureddine & Bettahar, Samir & Benbouziane, Mohamed, 2018. "Optimizing renewable energy portfolios under uncertainty: A multi-segment fuzzy goal programming approach," Renewable Energy, Elsevier, vol. 129(PA), pages 540-552.
    13. Li, Tao & Li, Ang & Guo, Xiaopeng, 2020. "The sustainable development-oriented development and utilization of renewable energy industry——A comprehensive analysis of MCDM methods," Energy, Elsevier, vol. 212(C).
    14. Marinho, Marcelo & Amorim, Luís & Camara, Rafael & Oliveira, Brigitte Renata & Sobral, Marcos & Sampaio, Suzana, 2021. "Happier and further by going together: The importance of software team behaviour during the COVID-19 pandemic," Technology in Society, Elsevier, vol. 67(C).
    15. Sandylove Afrane & Jeffrey Dankwa Ampah & Ephraim Bonah Agyekum & Prince Oppong Amoh & Abdulfatah Abdu Yusuf & Islam Md Rizwanul Fattah & Ebenezer Agbozo & Elmazeg Elgamli & Mokhtar Shouran & Guozhu M, 2022. "Integrated AHP-TOPSIS under a Fuzzy Environment for the Selection of Waste-To-Energy Technologies in Ghana: A Performance Analysis and Socio-Enviro-Economic Feasibility Study," IJERPH, MDPI, vol. 19(14), pages 1-31, July.
    16. Katerina Kabassi, 2021. "Comparing Multi-Criteria Decision Making Models for Evaluating Environmental Education Programs," Sustainability, MDPI, vol. 13(20), pages 1-17, October.
    17. Aleksandra Bączkiewicz & Bartłomiej Kizielewicz & Andrii Shekhovtsov & Mykhailo Yelmikheiev & Volodymyr Kozlov & Wojciech Sałabun, 2021. "Comparative Analysis of Solar Panels with Determination of Local Significance Levels of Criteria Using the MCDM Methods Resistant to the Rank Reversal Phenomenon," Energies, MDPI, vol. 14(18), pages 1-21, September.
    18. Hocine, Amin & Zhuang, Zheng-Yun & Kouaissah, Noureddine & Li, Der-Chiang, 2020. "Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions," European Journal of Operational Research, Elsevier, vol. 285(2), pages 642-654.
    19. Alireza Valipour & Hadi Sarvari & Jolanta Tamošaitiene, 2018. "Risk Assessment in PPP Projects by Applying Different MCDM Methods and Comparative Results Analysis," Administrative Sciences, MDPI, vol. 8(4), pages 1-17, December.
    20. Abbas Mardani & Ahmad Jusoh & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Zainab Khalifah, 2015. "Sustainable and Renewable Energy: An Overview of the Application of Multiple Criteria Decision Making Techniques and Approaches," Sustainability, MDPI, vol. 7(10), pages 1-38, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521005916. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.