Abstract
In view of the fact that the current methods cannot effectively and correctly control the invested costs and risk of social governance, resulting in a higher risk rate in the invested costs, a fuzzy algorithm-based invested costs and risk control model for social governance is proposed. This paper analyzes the classification and causes of risk, expounds the methods of risk identification and risk assessment, constructs and studies the invested costs and risk control model of social governance, establishes the fuzzy judgment matrix of risk control, calculates the single-layer ranking weight vector of risk fuzzy judgment matrix, and determines the fuzzy judgment matrix. The membership degree of risk influencing factors to the risk level is input into the social governance invested cost and risk control model to obtain the corresponding risk assessment results and predict the invested cost. According to the comparison of experimental results, through the test of risk degree and risk rate, it is verified that the maximum risk level value of the model is 20, which can minimize the risk degree; the risk control coefficient of the model is between 0.6 and 1.0, which can effectively reduce the probability of risk and achieve the purpose of design.
Highlights
Facing the challenge of knowledge economy and global integration in the 21st century, it is imperative to develop high-tech industries, give full play to the role of “science and technology are the primary productive forces,” promote the rapid development of China’s economy, and improve the ability of social governance
In order to solve the problem that the existing methods cannot effectively and correctly control the investment cost and risk of social governance, resulting in a high risk rate of investment cost, this paper proposes a social governance cost and risk control model based on fuzzy algorithm. e research framework is as follows: (1) rough analyzing the classification and causes of risks, there are four types of risk classification and three risk causes
Aiming at the problem of high risk rate of investment cost caused by the existing models, this paper designs the investment cost and risk control model of social governance based on fuzzy algorithm
Summary
Facing the challenge of knowledge economy and global integration in the 21st century, it is imperative to develop high-tech industries, give full play to the role of “science and technology are the primary productive forces,” promote the rapid development of China’s economy, and improve the ability of social governance. It has become a top priority for sociologists to study the cost and risk control of investment in social governance [1]. It can promote the innovation of key technologies and play a very important role in promoting the industrialization of high technology. E allocation of social governance invested costs to such highquality enterprises can reduce the risks faced by invested costs. It is helpful to guide the risk control of investment and improve the ability of risk identification; on the other hand, it is helpful to promote the optimal allocation of resources and develop high-tech industry [3]. A thorough study of the cost and risk control of social governance investment can promote the rational allocation of social governance invested cost and reduce the risk of investment, which is conducive to the rational allocation of social resources and healthy development
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