Výsledky vyhledávání - hesitant fuzzy clustering algorithm

GHFHC: Generalized Hesitant Fuzzy Hierarchical Clustering Algorithm Autor Aliahmadipour, Laya, Eslami, Esfandiar

“… So we propose a new generalized hesitant fuzzy hierarchical clustering (GHFHC) algorithm based on Atanassov's intuitionistic fuzzy set theory…”
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Novel Multiple Criteria Group Decision-Making Method Based on Hesitant Fuzzy Clustering Algorithm Autor Bian, Hongya, Li, Deqing, Liu, Yuang, Ma, Rong, Zeng, Wenyi, Xu, Zeshui

“… By applying the fuzzy equivalent matrix, a novel hesitant fuzzy clustering algorithm is given…”
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Robust hesitant fuzzy partitional clustering algorithms and their applications in decision making Autor Chao, Kun, Zhao, Hua, Xu, Zeshui, Cui, Feng

“…Hesitant fuzzy sets (HFSs) are a powerful tool to describe uncertain and vague information, whose relationship can be analyzed and mined by clustering algorithms…”
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Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets Autor Farhadinia, B.

“…The main purpose of this paper is to investigate the relationship between the entropy, the similarity measure and the distance measure for hesitant fuzzy sets (HFSs…”
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Hesitant fuzzy agglomerative hierarchical clustering algorithms Autor Zhang, Xiaolu, Xu, Zeshui

“… In this paper, we propose a novel hesitant fuzzy agglomerative hierarchical clustering algorithm for HFSs…”
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Hierarchical hesitant fuzzy K-means clustering algorithm Autor Chen, Na, Xu, Ze-shui, Xia, Mei-mei

“… Hesitant fuzzy sets are a powerful tool to treat this case. The present paper focuses on investigating the clustering technique for hesitant fuzzy sets based on the K…”
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Kernel C-Means Clustering Algorithms for Hesitant Fuzzy Information in Decision Making Autor Li, Chaoqun, Zhao, Hua, Xu, Zeshui

“…When facing clustering problems for hesitant fuzzy information, we normally solve them on sample space by using a certain hesitant fuzzy clustering algorithm, which is usually time-consuming…”
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Hesitant Fuzzy Entropy-Based Opportunistic Clustering and Data Fusion Algorithm for Heterogeneous Wireless Sensor Networks Autor Anees, Junaid, Zhang, Hao-Chun, Baig, Sobia, Guene Lougou, Bachirou, Robert Bona, Thomas Gasim

“… This paper proposes a novel, dynamic, self-organizing Hesitant Fuzzy Entropy-based Opportunistic Clustering and data fusion Scheme (HFECS…”
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Hesitant Fuzzy Linguistic Agglomerative Hierarchical Clustering Algorithm and Its Application in Judicial Practice Autor Wu, Shuangsheng, Lin, Jie, Zhang, Zhenyu, Yang, Yushu

“… A kind of hesitant fuzzy linguistic agglomerative hierarchical clustering algorithm is proposed…”
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Decision-Making and Clustering Algorithms Based on the Scored-Energy of Hesitant Fuzzy Soft Sets Autor Alcantud, José Carlos R., Stojanović, Nenad, Djurović, Ljubica, Laković, Maja

“…This paper introduces a novel numerical characteristic of hesitant fuzzy soft sets called their scored-energy…”
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Managing information measures for hesitant fuzzy linguistic term sets and their applications in designing clustering algorithms Autor Tang, Ming, Liao, Huchang

“…•The clustering algorithms based on correlation measure and distance measure are proposed.•The clustering algorithms are applied to an example concerning water resource bearing capacity…”
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Unbalanced Data Classification Based on Hesitant Fuzzy Decision Tree Autor ZHANG Xu, ZHOU Xinzhi, ZHAO Chengping, SHAO Lun

“…In order to optimize the classification effect of unbalanced data,an improved fuzzy decision tree algorithm is proposed combining the hesitant fuzzy set theory and the decision tree…”
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Failure Evaluation of Electronic Products Based on Double Hierarchy Hesitant Fuzzy Linguistic Term Set and K-Means Clustering Algorithm Autor Dai, Jinkun, Pang, Jihong, Luo, Qiang, Huang, Qianbing

“… This paper uses the double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) and the K-means clustering algorithm to improve the shortcomings of traditional FMEA…”
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Correlation coefficient of r,s,t-spherical hesitant fuzzy sets and MCDM problems based on clustering algorithm and technique for order preference by similarity to ideal solution method Autor ÖZLÜ, Şerif, AKTAŞ, Hacı

“…) problems, machine learning, data mining and medical diagnosis so on. This paper aims to present a new tool called as r,s,t spherical hesitant fuzzy set (r,s,t-SHFS…”
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Similarity Measure of Hesitant Fuzzy Sets Based on Implication Function and Clustering Analysis Autor Zeng, Wenyi, Ma, Rong, Yin, Qian, Xu, Zeshui

“…Hesitant fuzzy set (HFS) permits several possible values as the membership degree of an element to a set to express the decision makers' hesitance…”
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HFC: Data clustering based on hesitant fuzzy decision making Autor Aliahmadipour, L, Eftekhari, M, Torra, V

“… In this case, we hesitate which clustering algorithm to choose. In this paper, this hesitation is modeled by a hesitant fuzzy multi criteria decision making problem (HFMCDM…”
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Hesitant fuzzy Lukasiewicz implication operation and its application to alternatives’ sorting and clustering analysis Autor Wen, Miaomiao, Zhao, Hua, Xu, Zeshui

“…Hesitant fuzzy set (HFS) takes several possible values as the membership degree of an element to a set to express the decision makers…”
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Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation Autor Mokhtia, Mahla, Eftekhari, Mahdi, Saberi-Movahed, Farid

“… In order to compute the HFCM, a fuzzy clustering algorithm is applied to samples (or features), and a hesitant fuzzy set on each sample…”
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Weighted Hesitant Fuzzy Clustering Based on Density Peaks Autor Zhang, Yu, Lu, Yi-Hong, Huang, De-Cai

“… out on the decision problem.Therefore,hesitant fuzzy sets(HFSs) clustering algorithms were…”
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Novel distance measures of hesitant fuzzy sets and their applications in clustering analysis Autor Liao, Fuping, Li, Wu, Zhou, Xiaoqiang, Liu, Gang

“… For the existing hesitant fuzzy distance, most of them do not consider the hesitance degree. Even if the hesitance degree is considered, only the degree of dispersion or the number of hesitant fuzzy values are considered…”
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