scholarly journals Extended belief rule based system with joint learning for environmental governance cost prediction

2020 ◽  
Vol 111 ◽  
pp. 106070 ◽  
Author(s):  
Ying-Ming Wang ◽  
Fei-Fei Ye ◽  
Long-Hao Yang
Keyword(s):  
Environmental Governance ◽  
Cost Prediction ◽  
Rule Based ◽  
Joint Learning ◽  
Rule Based System

scholarly journals Analysis of Environmental Governance Expense Prediction Reform With the Background of Artificial Intelligence

2022 ◽  
Vol 34 (5) ◽  
pp. 1-19
Author(s):  
Xiaohui Wu
Keyword(s):  
Artificial Intelligence ◽  
Environmental Management ◽  
Environmental Governance ◽  
Shared Governance ◽  
Cost Prediction ◽  
Rule Based ◽  
The Public ◽  
General Government ◽  
Equilibrium Approach ◽  
The Cost

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.

Multi-Asset Class Portfolio Optimisation Using a Belief Rule-Based System

2010 ◽  
Author(s):  
Ser-Huang Poon ◽  
Yu-Wang Chen ◽  
Jian-Bo Yang ◽  
Dong-Ling Xu ◽  
Dongxu Zhang ◽  
...  
Keyword(s):  
Portfolio Optimisation ◽  
Rule Based ◽  
Rule Based System ◽  
Asset Class

Random clustering forest for extended belief rule-based system

2021 ◽  
Author(s):  
Nan-Nan Chen ◽  
Xiao-Ting Gong ◽  
Ying-Ming Wang ◽  
Chun-Yang Zhang ◽  
Yang-Geng Fu
Keyword(s):  
Rule Based ◽  
Rule Based System

Automatic Identification of Unique Conference Names using Rule-based System

2020 ◽  
Author(s):  
Nuttapol Boonsom ◽  
Suwimol Wahakit ◽  
Thearith Ponn ◽  
Worapan Kusakunniran ◽  
Kittikhun Thongkanchorn
Keyword(s):  
Automatic Identification ◽  
Rule Based ◽  
Rule Based System

STAX: a turbo prolog rule-based system for soil taxonomy

1989 ◽  
Vol 15 (3) ◽  
pp. 295-324 ◽  
Author(s):  
Peter F. Fisher ◽  
Chandra S. Balachandran
Keyword(s):  
Soil Taxonomy ◽  
Rule Based ◽  
Rule Based System
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