NDLI: Optimal Selection of FGD Technology Using ACA-Based Rough Set Theory and VIKOR

Content Provider	IEEE Xplore Digital Library
Author	Jianguo Zhou Jiming Tian
Copyright Year	2008
Description	Author affiliation: Sch. of Bus. Adm., North China Electr. Power Univ., Baoding (Jianguo Zhou; Jiming Tian)
Abstract	Sulfur in coal is converted to sulfur dioxide during combustion. $SO_{2}$ is a precursor to acid rain which is one of the most widespread forms of pollution worldwide. To minimize the adverse impacts of $SO_{2}$ emissions on the environment, many flue gas desulphurization (FGD) systems have been developed over the past few decades for the control and abatement of $SO_{2}$ emissions by coal-fired boilers of industrial processes and power plants. However, how to select the optimum FGD system is one of essential problems facing many decision-makers. Since traditional methods have limitations in disposing deficient and noisy data, the past studies yielded in objectivity and accuracy for evaluation. In this study, the hybrid system of rough sets based on ant colony algorithm (ACA-RSs) and VIKOR algorithm was employed to dispose the problem of optimal selection, in which rough sets were used for simplifying the process of by eliminating the redundant data and determining the attributes' weighs. However, many studies have showed that attributes reduction which is the core problem in rough set theory research is NP problem. We employed ACA to solve this problem. Then, VIKOR algorithm is applied to solve the multi-criteria decision-making problem. At last the effectiveness of our approach was verified by testing the hybrid system with an example.
Starting Page	1
Ending Page	4
File Size	129706
Page Count	4
File Format	PDF
ISBN	9781424421077
DOI	10.1109/WiCom.2008.2739
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Rain Environmentally friendly manufacturing techniques Rough sets Set theory Control systems Boilers Combustion Flue gases Electrical equipment industry Industrial pollution
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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