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Cluster analysis based on fuzzy equivalence relation

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  • Liang, Gin-Shuh
  • Chou, Tsung-Yu
  • Han, Tzeu-Chen

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  • Liang, Gin-Shuh & Chou, Tsung-Yu & Han, Tzeu-Chen, 2005. "Cluster analysis based on fuzzy equivalence relation," European Journal of Operational Research, Elsevier, vol. 166(1), pages 160-171, October.
    • Handle: RePEc:eee:ejores:v:166:y:2005:i:1:p:160-171
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    References listed on IDEAS

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    1. Lee, Hsuan-Shih, 1999. "Automatic clustering of business processes in business systems planning," European Journal of Operational Research, Elsevier, vol. 114(2), pages 354-362, April.
    2. Ozer, Muammer, 2001. "User segmentation of online music services using fuzzy clustering," Omega, Elsevier, vol. 29(2), pages 193-206, April.
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    Cited by:

    1. Meng, Fanyong & Tang, Jie & An, Qingxian, 2023. "Cooperative game based two-stage consensus adjustment mechanism for large-scale group decision making," Omega, Elsevier, vol. 117(C).
    2. Tang, Ming & Liao, Huchang, 2021. "From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey," Omega, Elsevier, vol. 100(C).
    3. Zhi Wen & Huchang Liao, 2022. "Capturing attitudinal characteristics of decision-makers in group decision making: application to select policy recommendations to enhance supply chain resilience under COVID-19 outbreak," Operations Management Research, Springer, vol. 15(1), pages 179-194, June.
    4. Li Liu & Xing Li & Gaoyuan Xia & Juliang Jin & Guowei Chen, 2016. "Spatial fuzzy clustering approach to characterize flood risk in urban storm water drainage systems," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(3), pages 1469-1483, September.
    5. Si He & Nabil Belacel & Alan Chan & Habib Hamam & Yassine Bouslimani, 2016. "A Hybrid Artificial Fish Swarm Simulated Annealing Optimization Algorithm for Automatic Identification of Clusters," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(05), pages 949-974, September.
    6. Xu, Xuelian & Liu, Xiaodong & Chen, Yan, 2009. "Applications of axiomatic fuzzy set clustering method on management strategic analysis," European Journal of Operational Research, Elsevier, vol. 198(1), pages 297-304, October.
    7. Angelo Menga Ebonzo & Xiaodong Liu, 2013. "The use of axiomatic fuzzy set theory in AHP and TOPSIS methodology to determine strategies priorities by SWOT analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(5), pages 2671-2685, August.
    8. Shuangsheng Wu & Jie Lin & Zhenyu Zhang & Yushu Yang, 2021. "Hesitant Fuzzy Linguistic Agglomerative Hierarchical Clustering Algorithm and Its Application in Judicial Practice," Mathematics, MDPI, vol. 9(4), pages 1-16, February.

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