Decision Rules for Renewable Energy Utilization Using Rough Set Theory Article Swipe

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Chuying Huang , Chun‐Che Huang , Din-Nan Chen , Yu-Ju Wang ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.3390/axioms12090811

Rough Set (RS) theory is used for data analysis and decision making where decision-making rules can be derived through attribute reduction and feature selection. Energy shortage is an issue for governments, and solar energy systems have become an important source of renewable energy. Rough sets may be used to summarize and compare rule sets for different periods. In this study, the analysis of rules is an element of decision support that allows organizations to make better informed decisions. However, changes to decision rules require adjustment and analysis, and analysis is inhibited by changes in rules. With this consideration, a solution approach is proposed. The results show that not only can decision costs be reduced, but policymakers can also make it easier for the public to understand the incentives of green energy programs and the use of solar panels. The application process is simplified for the implementation of sustainable energy policies.

Related Topics

Renewable Energy

Incentive

Computer Science

Decision Support System

Process (Computing)

Environmental Economics

Data Mining

Artificial Intelligence

Electrical Engineering

Concepts

Rough set Renewable energy Decision rule Incentive Computer science Economic shortage Set (abstract data type) Decision support system Energy (signal processing) Process (computing) Operations research Environmental economics Data mining Risk analysis (engineering) Artificial intelligence Engineering Business Economics Microeconomics Mathematics Government (linguistics) Operating system Linguistics Statistics Philosophy Programming language Electrical engineering

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Type: article
Language: en
Landing Page: https://doi.org/10.3390/axioms12090811
PDF: https://www.mdpi.com/2075-1680/12/9/811/pdf?version=1692803082
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Cited By: 2
References: 39
Related Works: 10
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DOI: https://doi.org/10.3390/axioms12090811

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Title: Decision Rules for Renewable Energy Utilization Using Rough Set Theory

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Language: en

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Publication year: 2023

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Publication date: 2023-08-23

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Authors: Chuying Huang, Chun‐Che Huang, Din-Nan Chen, Yu-Ju Wang

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Landing page: https://doi.org/10.3390/axioms12090811

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Concepts: Rough set, Renewable energy, Decision rule, Incentive, Computer science, Economic shortage, Set (abstract data type), Decision support system, Energy (signal processing), Process (computing), Operations research, Environmental economics, Data mining, Risk analysis (engineering), Artificial intelligence, Engineering, Business, Economics, Microeconomics, Mathematics, Government (linguistics), Operating system, Linguistics, Statistics, Philosophy, Programming language, Electrical engineering

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Cited by: 2

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