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Yuxing Li, Yilan Lou, Lili Liang and Shuai Zhang
In recent years, fuzzy dispersion entropy (FDE) has been proposed and used in the feature extraction of various types of signals. However, FDE can only analyze a signal from a single time scale during practical application and ignores some important info...
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Feng Cai, Zhinan Hu, Beihan Jiang, Weifang Ruan, Shujuan Cai and Huiling Zou
This study aimed to effectively evaluate the ecological restoration of the river reach where a small hydropower station was retired or renovated. An ecological health index system was constructed based on the environmental characteristics of the upstream...
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Xiantao Qin, Xianlai Zha, Zhongheng Wu and Lei Zhang
Bridge safety during operating periods is a primary concern worldwide, and the evaluation of bridge risks is a critical aspect of ensuring bridge safety. The most common methods used for bridge risk evaluations include fuzzy comprehensive evaluations, gr...
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Lin Zhang, Haiyuan Liu and Hao He
We used fuzzy entropy as a feature to optimize the intrinsically disordered protein prediction scheme. The optimization scheme requires computing only five features for each residue of a protein sequence, that is, the Shannon entropy, topological entropy...
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Ming-ai Li, Hai-na Liu, Wei Zhu and Jin-fu Yang
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Boris Medina Salgado, Leonardo Duque Muñoz
Pág. 9 - 19
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Manfeng Liu and Haiping Ren
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Manfeng Liu and Haiping Ren
In this paper, firstly, a new intuitionistic fuzzy (IF) entropy has been put forward, which considered both the uncertainty and the hesitancy degree of IF sets. Through comparing with other entropy measures, the advantage of the new entropy measure is ob...
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Boris Alexander Medina, Ramón Alvarez López
Pág. 226 - 238
Abstract AuthorsDownloadsReferencesHow to Cite
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Boris Medina Salgado, Leonardo Duque Muñoz
Abstract AuthorsDownloadsReferencesHow to Cite
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Yetis Sazi Murat, Ziya Cakici
Pág. 265 - 274
Traffic safety is one of the crucial problems of many countries in the world. To handle this problem, a great deal of research has been conducted considering various methods. This study includes analyses of black spots using different computing approache...
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Wenbin Zhao, Changlai Xiao, Yunxu Chai, Xiaoya Feng, Xiujuan Liang and Zhang Fang
The existing weighting methods mainly comprise subjective and objective weighting and have a certain degree of subjectivity, with certain requirements for the professional ability of the users and unstable results. Therefore, an improved weighting method...
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Jiawen Tan, Wenlong Fu, Kai Wang, Xiaoming Xue, Wenbing Hu and Yahui Shan
Rolling bearing is of great importance in modern industrial products, the failure of which may result in accidents and economic losses. Therefore, fault diagnosis of rolling bearing is significant and necessary and can enhance the reliability and efficie...
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Xiaowen Ding, Xiao Chong, Zhengfeng Bao, Ying Xue and Shanghong Zhang
The safety of drinking water from source areas is an important issue, and the fuzzy comprehensive assessment method is a useful evaluation approach. However, it has limitations due to its complicated calculation, as well as the effects of subjective fact...
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Xiaowen Ding, Xiao Chong, Zhengfeng Bao, Ying Xue, Shanghong Zhang
Pág. 1 - 15
The safety of drinking water from source areas is an important issue, and the fuzzy comprehensive assessment method is a useful evaluation approach. However, it has limitations due to its complicated calculation, as well as the effects of subjective fact...
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Lin Xu, Shanxiu Ma, Zhiyuan Shen, Shiyu Huang and Ying Nan
In order to determine the fatigue state of air traffic controllers from air talk, an algorithm is proposed for discriminating the fatigue state of controllers based on applying multi-speech feature fusion to voice data using a Fuzzy Support Vector Machin...
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Nguyet-Minh Nguyen, Reza Bahramloo, Jalal Sadeghian, Mehdi Sepehri, Hadi Nazaripouya, Vuong Nguyen Dinh, Afshin Ghahramani, Ali Talebi, Ismail Elkhrachy, Chaitanya B. Pande and Sarita Gajbhiye Meshram
The aim of this paper is to assess the extent to which the Sad-Kalan watershed in Iran participates in floods and rank the Sad-Kalan sub-watersheds in terms of flooding potential by utilizing multi-criteria decision-making approaches. We employed the ent...
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Premaladha Jayaraman, Nirmala Veeramani, Raghunathan Krishankumar, Kattur Soundarapandian Ravichandran, Fausto Cavallaro, Pratibha Rani and Abbas Mardani
In recent years, skin cancer diagnosis has been aided by the most sophisticated and advanced machine learning algorithms, primarily implemented in the spatial domain. In this research work, we concentrated on two crucial phases of a computer-aided diagno...
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Jianpo Liu, Hongxu Shi, Ren Wang, Yingtao Si, Dengcheng Wei and Yongxin Wang
The spatial and temporal distribution of tunnel failure is very complex due to geologic heterogeneity and variability in both mining processes and tunnel arrangement in deep metal mines. In this paper, the quantitative risk assessment for deep tunnel fai...
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In recent decades, human brain tumor detection has become one of the most challenging issues in medical science. In this paper, we propose a model that includes the template-based K means and improved fuzzy C means (TKFCM) algorithm for detecting human b...
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