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A literature review of interval-valued intuitionistic fuzzy multi-criteria decision-making methodologies

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  • Melda Kokoç
  • Süleyman Ersöz

Abstract

Multi-criteria decision-making (MCDM) is one of the most popular problems handled by researchers in the literature. Since the interval-valued intuitionistic fuzzy set (IVIFS) theory generates as realistic as possible evaluation of linguistic expressions, researchers have been expanding traditional MCDM methods to the IVIF environment, especially in the last decade. This study provides a literature review of the relevant articles from several academic databases on applications of IVIF-MCDM methods. The review of 131 publications addresses specific research questions. To understand the research publication trend, this review offers a visual analysis that examines the studies from different perspectives, such as application areas, IVIF-MCDM methods, citations, most relevant journals, and validation methods. One of the most remarkable results of the literature review is that most publications in this field are published in SCIE indexed journals. Another noteworthy issue is that China is the country that produces the most articles in this field. In addition, English journals are mostly selected for the publication of articles. While it is seen that the investment selection problem is chosen mostly as the application area, the TOPSIS method is preferred mostly in the applications. This study stands out as the most comprehensive one that compiles publications containing extended traditional MCDM methods for IVIF sets. This review will be an important reference for future researchers and decision-makers involved in advancing MCDM methods considering vagueness and ambiguity.

Suggested Citation

  • Melda Kokoç & Süleyman Ersöz, 2021. "A literature review of interval-valued intuitionistic fuzzy multi-criteria decision-making methodologies," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(4), pages 89-116.
    • Handle: RePEc:wut:journl:v:31:y:2021:i:4:p:89-116:id:1592
    DOI: 10.37190/ord210405
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    References listed on IDEAS

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    1. Ren-Jie Mao & Jian-Xin You & Chun-Yan Duan & Lu-Ning Shao, 2019. "A Heterogeneous MCDM Framework for Sustainable Supplier Evaluation and Selection Based on the IVIF-TODIM Method," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
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    4. Jun-Ling Zhang & Xiao-Wen Qi, 2012. "Induced Interval-Valued Intuitionistic Fuzzy Hybrid Aggregation Operators with TOPSIS Order-Inducing Variables," Journal of Applied Mathematics, Hindawi, vol. 2012, pages 1-24, June.
    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.
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    15. Hu, Kejia & Tan, Qian & Zhang, Tianyuan & Wang, Shuping, 2020. "Assessing technology portfolios of clean energy-driven desalination-irrigation systems with interval-valued intuitionistic fuzzy sets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    16. Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene & Seyed Hossein Razavi Hajiagha & Shide Sadat Hashemi, 2015. "The Interval-Valued Intuitionistic Fuzzy MULTIMOORA Method for Group Decision Making in Engineering," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-13, June.
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    18. Wenhao Qi & Zhixiong Huang & Hasan Dinçer & Renata Korsakienė & Serhat Yüksel, 2020. "Corporate Governance-Based Strategic Approach to Sustainability in Energy Industry of Emerging Economies with a Novel Interval-Valued Intuitionistic Fuzzy Hybrid Decision Making Model," Sustainability, MDPI, vol. 12(8), pages 1-19, April.
    19. Tuzkaya, Gülfem & Sennaroglu, Bahar & Kalender, Zeynep Tuğçe & Mutlu, Meltem, 2019. "Hospital service quality evaluation with IVIF-PROMETHEE and a case study," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
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