scholarly journals Water Treatment Plant Decision Making Using Rough Multiple Classifier Systems

2011 ◽  
Vol 11 ◽  
pp. 1419-1423 ◽  
Author(s):  
Lin Feng
Keyword(s):  
Decision Making ◽  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Multiple Classifier Systems ◽  
Classifier Systems ◽  
Multiple Classifier

Review of IDS Develepment Methods in Machine Learning

2016 ◽  
Vol 6 (5) ◽  
pp. 2432 ◽  
Author(s):  
Abdulla Aburomman ◽  
Mamun Bin Ibne Reaz
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Review Paper ◽  
Classifier Combination ◽  
Multiple Classifier Systems ◽  
Classifier Systems ◽  
New Methods ◽  
Multiple Classifier ◽  
Number Of Publications ◽  
Combined Classifier

<p>Due to the rapid advancement of knowledge and technologies, the problem of decision making is getting more sophisticated to address, therefore the inventing of new methods to solve it is very important. One of the promising directions in machine learning and data mining is classifier combination. The popularity of this approach is confirmed by the still growing number of publications. This review paper focuses mainly on classifier combination known also as combined classifier, multiple classifier systems, or classifier ensemble. Eventually, recommendations and suggestions have also included.</p>

Learning from Multiple Classifier Systems: Perspectives for Improving Decision Making of QSAR Models in Medicinal Chemistry

2018 ◽  
Vol 17 (30) ◽  
pp. 3269-3288 ◽  
Author(s):  
Hai Pham-The ◽  
Nguyen-Hai Nam ◽  
Doan-Viet Nga ◽  
Dang Thanh Hai ◽  
Karel Dieguez-Santana ◽  
...  
Keyword(s):  
Decision Making ◽  
Medicinal Chemistry ◽  
Multiple Classifier Systems ◽  
Classifier Systems ◽  
Multiple Classifier ◽  
Qsar Models

Location selection for Installation of Surface Water Treatment Plant by Applying a New Sinusoidal Analytical Hierarchy Process

2019 ◽  
Vol 8 (3) ◽  
pp. 20-42
Author(s):  
Sudipa Choudhury ◽  
Apu Kumar Saha
Keyword(s):  
Decision Making ◽  
Water Treatment ◽  
Surface Water ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Location Selection ◽  
Simulation And Optimization ◽  
Surface Water Treatment ◽  
Selection For ◽  
Selection Of

Water treatment plants (WTPs) are responsible for ensuring supply of healthy water to urban and rural consumers for drinking and other related purposes. But the arbitrary selection of a location for installation or relocation of WTPs often fails the purpose of the plant. Presently studies in location selection for water treatment plant are rare. Multi-criteria decision making (MCDM) methods and bagged polynomial neural networks (PNN) were found to be exemplary and easy to use tools for prediction, simulation and optimization of decision-making objectives. The present study tries to apply the advantages of MCDM and bagged PNNs in the identification of an ideal location for a surface water treatment plant. The most significant parameter is found to be WQI which represents the overall quality of water suitable for domestic use. The PNN models were developed with all the selected eight alternatives as input and output. The algorithms like GMDH, SFS, SMS, and QC were used to estimate the weight of connections in between the input and hidden; and hidden and output layers separately for each segment. The application of these two soft computation tools provides an opportunity to the decision maker in the selection of optimal location with the help of an objective and cognitive method.

Value analysis system development for water treatment plant maintenance method selection

2010 ◽  
Vol 37 (9) ◽  
pp. 1213-1223
Author(s):  
Jong-Won Seo ◽  
Pyung-Ki Jung ◽  
Min-Jae Lee
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Automated System ◽  
Value Analysis ◽  
A Value ◽  
Method Selection ◽  
Analysis System

Even though the life span of a water treatment facility is relatively long, the decision-making process related to method selection for repair and reinforcement is generally influenced by an engineer's experience. These decisions should be made systematically after considering facility use, damage features, technical features, reconstruction costs, maintenance costs, and others. The purpose of this study is to provide a value analysis system for the effective selection of repairing and (or) reinforcing methods for water treatment plant concrete structures. Analysis of the concrete structure's damage type and maintenance records allowed the development of a value analysis system for more effective and systematic decision making. Performance evaluation criteria were established using a survey of field professionals as the decision basis. Weight for each performance criterion was determined by using the field personnel survey and the analytic hierarchy process (AHP) methodology. The rank rating standard for each performance evaluation criterion was established for each maintenance method type. Finally, an automated system was developed that can give guidance on repair and reinforcement method selection by applying proposed performance indices that are related to the maintenance method selection and the value analysis of the different methods.

Multi-objective optimization of water treatment operations for disinfection byproduct control

2020 ◽  
Vol 6 (3) ◽  
pp. 702-714
Author(s):  
William J. Raseman ◽  
Joseph R. Kasprzyk ◽  
R. Scott Summers ◽  
Amanda K. Hohner ◽  
Fernando L. Rosario-Ortiz
Keyword(s):  
Decision Making ◽  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Multi Objective Optimization ◽  
Disinfection Byproduct ◽  
Multi Objective ◽  
Plant Operations ◽  
Decision Making Framework

This paper introduces a novel decision-making framework for the optimization of water treatment plant operations.

scholarly journals Review of IDS Develepment Methods in Machine Learning

2016 ◽  
Vol 6 (5) ◽  
pp. 2432 ◽  
Author(s):  
Abdulla Aburomman ◽  
Mamun Bin Ibne Reaz
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Review Paper ◽  
Classifier Combination ◽  
Multiple Classifier Systems ◽  
Classifier Systems ◽  
New Methods ◽  
Multiple Classifier ◽  
Number Of Publications ◽  
Combined Classifier

<p>Due to the rapid advancement of knowledge and technologies, the problem of decision making is getting more sophisticated to address, therefore the inventing of new methods to solve it is very important. One of the promising directions in machine learning and data mining is classifier combination. The popularity of this approach is confirmed by the still growing number of publications. This review paper focuses mainly on classifier combination known also as combined classifier, multiple classifier systems, or classifier ensemble. Eventually, recommendations and suggestions have also included.</p>

DESIGNING OF REMOTE TERMINAL UNIT (RTU) FOR MEASUREMENT OF pH IN WATER TREATMENT PLANT

2019 ◽  
Vol 10 (1) ◽  
pp. 16
Author(s):  
V. MANE-DESHMUKH PRASHANT ◽  
B. MORE ASHWINI ◽  
B. P. LADGAOKAR ◽  
S. K. TILEKAR ◽  
◽  
...  
Keyword(s):  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Terminal Unit ◽  
Remote Terminal ◽  
Remote Terminal Unit
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