C
Chao Huang
Researcher at Fujian Normal University
Publications - 9
Citations - 562
Chao Huang is an academic researcher from Fujian Normal University. The author has contributed to research in topics: Multiple-criteria decision analysis & Fuzzy logic. The author has an hindex of 5, co-authored 7 publications receiving 230 citations.
Papers
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Journal ArticleDOI
MULTIMOORA based MCDM model for site selection of car sharing station under picture fuzzy environment
Mingwei Lin,Chao Huang,Zeshui Xu +2 more
TL;DR: A novel picture fuzzy multi-criteria decision making (MCDM) model is proposed to solve the site selection problem for car sharing stations in Bejing and the definition of picture fuzzy sets is adopted to accurately portray the voting information.
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Evaluating IoT Platforms Using Integrated Probabilistic Linguistic MCDM Method
TL;DR: In this article, evaluating the IoT platforms is formulated to be a multicriteria decision-making (MCDM) problem since it involves multiple considerations and a novel integrated MCDM method is put forward for handling this problem.
Journal ArticleDOI
Pythagorean fuzzy MULTIMOORA method based on distance measure and score function: its application in multicriteria decision making process
Chao Huang,Mingwei Lin,Zeshui Xu +2 more
TL;DR: Two novel distance measures and a novel score function for PFSs are proposed for proposing a novel Pythagorean fuzzy MULTIMOORA method and another case for evaluating energy projects is given to verify the advantages of the studies by comparing them with the existing Pythagorian fuzzy distance measures, score functions, and decision making methods.
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Directional correlation coefficient measures for Pythagorean fuzzy sets: their applications to medical diagnosis and cluster analysis
TL;DR: In this paper, some novel directional correlation coefficients are put forward to compute the relationship between two Pythagorean fuzzy sets by taking four parameters of the PFSs into consideration, which are the membership degree, non-membership degree, strength of commitment, and direction of commitment.
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TOPSIS Method Based on Correlation Coefficient and Entropy Measure for Linguistic Pythagorean Fuzzy Sets and Its Application to Multiple Attribute Decision Making
TL;DR: A novel TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is proposed for LPFSs based on correlation coefficient and entropy measure to solve multiple attribute decision-making problems.