Z
Zhiliang Ren
Researcher at Southeast University
Publications - 22
Citations - 573
Zhiliang Ren is an academic researcher from Southeast University. The author has contributed to research in topics: Probabilistic logic & Fuzzy set. The author has an hindex of 12, co-authored 22 publications receiving 389 citations. Previous affiliations of Zhiliang Ren include Shandong Institute of Business and Technology.
Papers
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Dual hesitant fuzzy VIKOR method for multi-criteria group decision making based on fuzzy measure and new comparison method
Zhiliang Ren,Zeshui Xu,Hai Wang +2 more
TL;DR: This paper proposes an approach for multi-criteria group decision making (MCGDM) with dual hesitant fuzzy information, and proposes a score function and a comparison method of DHFEs, and develops a new distance measure forDHFEs.
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The consensus of probabilistic uncertain linguistic preference relations and the application on the virtual reality industry
TL;DR: This paper studies the consensus among the preference relations (PRs) and selects a suitable alternative for the GDM problem, and constructs the probabilistic uncertain linguistic preference relation (PULPR) and the normalized PULPR.
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The interval‐valued hesitant Pythagorean fuzzy set and its applications with extended TOPSIS and Choquet integral‐based method
TL;DR: This work proposes the concept of interval‐valued hesitant Pythagorean fuzzy sets (IVHPFSs), a solution for decision making under uncertainty, and explores two decision‐making processes in the setting of IVHPFS by drawing support from the technique for order preference by similarity to ideal solution and Choquet integral‐based method.
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Normal wiggly hesitant fuzzy sets and their application to environmental quality evaluation
TL;DR: A new fuzzy information form called normal wiggly hesitant fuzzy set (NWHFS) is proposed to assist the DMs in expressing their evaluation information more completely and improve the rationality of the decision-making result.
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Probabilistic Linguistic Analytic Hierarchy Process and Its Application on the Performance Assessment of Xiongan New Area
TL;DR: This paper extends the AHP to the probabilistic linguistic environment for perfecting the modeling ability of AHP in various decision-making problems and proposes a new approach to check and improve the consistency of the PLCMs.