Abstract
In the new situation of Internet plus, information technology has been widely applied in education, and hence online education has attracted wide attention from all walks of life. Today’s society is a risk society, and risk is everywhere. Online education reform is also risky, which is determined by many reasons. Some risks will cause certain losses to the online education reform, so based on risky decision-making, it is necessary to carry out online education reform under the new situation of Internet plus. At first, the risky decision-making in online education reform is analyzed, which is the risk of online education reform in risk society and the allocation logic of online education reform. Then, taking interval type-2 fuzzy logic (IT2FL) as the information environment, this study proposes the optimal risky decision-making method based on IT2FL utility functions, IT2FL entropy, and risk preference factor of online education reform to solve the multipath risky decision-making problem of online education reform. Finally, the experimental results show that, in the risky decision-making model, the decision-maker’s risk preference has an impact on the path weight and the ranking of the scheme, and the idea has a certain reference role for risky decision-making. Compared with the three benchmarks, the proposed method has the fewest ranking time with the same ranking results.
Highlights
Society today is a risk society, from Ulrich Beck, a recognizable German author in environmental sociology [1]
The main contributions of this paper are summarized as follows: (i) the risky decision-making in online education reform is studied, which is the risk of online education reform in risk society and the allocation logic of online education reform. (ii) e optimal risky decision-making method based on interval type-2 fuzzy logic (IT2FL) utility functions, IT2FL entropy, and risk preference factor of online education reform is proposed to solve the multipath risky decision-making problem of online education reform
Online education reform presents fuzziness and uncertainty, so risky decision-making in a fuzzy environment is attracting more and more attention from experts and scholars. is section takes interval type-2 fuzzy logic (IT2FL) as the information environment and proposes two IT2FL utility functions based on the cut set. ese two utility functions effectively extract all information of IT2FL, which is conducive to reducing the decision-making error of online education reform. e risky decision-making model of IT2FL and entropy in novel online education reform mode based on utility function, entropy, and risk preference factor is constructed to observe the influence of decision-makers’
Summary
Society today is a risk society, from Ulrich Beck, a recognizable German author in environmental sociology [1]. Ere is a danger that the anomaly will become the norm. He argues that a risk society is a disaster society [2]. In this way, the risk is universal and objective in today’s society, which is a fact we should face squarely. As risks may cause disasters to human society, they should be prevented and avoided. As an artificial social practice, online education reform has inevitable risks. Facing the risks in online education reform, what kind of attitude should we hold and what kind of actions should we take? Education reform in a risky social environment is risky decision-making
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