Abstract
In this paper, Artificial Intelligence assisted rule-based confidence metric (AI-CRBM) framework has been introduced for analyzing environmental governance expense prediction reform. A metric method is to assess a level of collective environmental governance representing general, government, and corporate aspects. The equilibrium approach is used to calculate improvements in the source of environmental management based on cost, and it is tailored to test the public sector-corporation for environmental shared governance. The overall concept of cost prediction or estimation of environmental governance is achieved by the rule-based confidence method. The framework compares the expected cost to the environment of governance to determine the efficiency of the cost prediction process.
Highlights
TO ENVIRONMENTAL GOVERNANCEEnvironmental governance (Hiremath et al, 2019) is a term that effort to facilitate affordability as the ultimate focus of all-natural processes like political, social, and economical in democratic resource and environmental policies
The equilibrium approach is used to calculate improvements in the source of environmental management based on cost, and it is tailored to test the public sector-corporation for environmental shared governance
The overall concept of cost prediction or estimation of environmental governance is achieved by the rule-based confidence method
Summary
TO ENVIRONMENTAL GOVERNANCEEnvironmental governance (Hiremath et al, 2019) is a term that effort to facilitate affordability as the ultimate focus of all-natural processes like political, social, and economical in democratic resource and environmental policies. The challenge of environmental protection and emission management (Hiremath et al, 2019) rises as the cumulative contaminants meet the ecological capability, and the economic expansion appears difficult to maintain. It is a form of environmental governance (Abdel‐Basset et al, 2019) controlled by the government. The proposed method explores a new paradigm for the study of dynamic connections between the various environment and economical as well as cost development governance. (Wolf et al, 2020) introduced A practice-centered analysis of environmental accounting standards: integrating agriculture into carbon governance (PAE-IAC). The Central Government of China integrated source water Governance duty into the evaluation of the local authority’s structure and introduced the RCS
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