fuzzy computing
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IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 145422-145434
Author(s):  
Bingkun Wang ◽  
Weina He ◽  
Zhen Yang ◽  
Shufeng Xiong

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 66095-66104
Author(s):  
Lvjiang Yin ◽  
Wen-Tsao Pan ◽  
Jiali Kuang ◽  
Meier Zhuang

Author(s):  
Xinqi Sun ◽  
Wenzhong Zhu ◽  
Ziqing Li ◽  
Linpei Ke ◽  
Wen-Tsao Pan

To explore the learning effect of mainland students taught by Taiwan professors, this paper collects data through questionnaires and uses the multiple equal part linear regression to analyse the data. This paper explores the influence caused by factors such as the position of the images and the size or density of the word in the textbooks, which is in traditional Chinese character, used by professors from Taiwan. And other factors like the interest of students to the course and the motivation of the course selection are also analysed in this paper. Research results show that: all the typesetting factors and the motivation of the course selection have a great influence on students with poor learning performance. And the interest to the course also has a high impact on students with poor or moderate learning performance. Our research focuses on applying complex computing methods-including fuzzy computing and multiple equal part linear regression-to studies in education areas. It encourages more innovative interdisciplinary researches in the future.


2019 ◽  
Vol 7 (6) ◽  
pp. 230-240
Author(s):  
Mei-Er Zhuang ◽  
Wen-Tsao Pan

With the advent of the information age, information security has become an urgent problem to be solved. Various application and platforms have not only brought convenience to people, but also brought hidden dangers - information security risks. This paper uses some of the machine learning technology - fuzzy computing and gray relation analysis (GRA), to analyze data of the three major video platforms of China, and takes the information security level as a new criterion to conduct the evaluation of their performance. An assessment model is constructed based on machine learning technology, namely the combination of fuzzy computing and GRA and analytic hierarchy process (AHP). Conclusions can be drawn as follows. First, consumers’ perception of video platform information security level is constantly being strengthened. Second, information security risks are affecting consumers' choice decisions about video platforms, and the weights will continue to increase. Third, video platforms are paying more attention to information security construction.


2019 ◽  
Vol 27 (3) ◽  
pp. 1704-1718
Author(s):  
Kavitha SRINIVASAN ◽  
Mohanavalli SUBRAMANIAM ◽  
Bharathi BHAGAVATHSINGH

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