An Effective Decision Support System based on Neural Networks and Its Application

2013 ◽  
Vol 5 (1) ◽  
pp. 37-45
Author(s):  
XueFeng Jiang
Keyword(s):  
Neural Networks ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Effective Decision ◽  
Effective Decision Support

scholarly journals Review of real-time effective decision support system for water resource management

2021 ◽  
Vol 309 ◽  
pp. 01211
Author(s):  
S. VenkatCharyulu ◽  
G.K. Viswanadh
Keyword(s):  
Decision Support ◽  
Resource Management ◽  
Decision Support System ◽  
Water Resource ◽  
Support System ◽  
Water Resource Management ◽  
Research Work ◽  
Effective Decision ◽  
Effective Decision Support ◽  
System Designs

The current technologies are predominantly attract the water resource management(WRM); if this water can not adequately utilizing for human activities, then several future problems are happening. Therefore super hydro controlling technology and it’s management systems are necessary. In this investigation, various water resource management methodologies, it’s merits and demerits are reviewed. The 2R-decision support system(DESS) implementation can change the conventional water management mechanisms, DESS addresses the engineering and non-engineering issues related to WRM system. The global WRM system designs and utilizations are facing many questionaries from experts. In India, there are many WRMs, but these are work for the nation, due to this limitation nations are facing many contemporary issues. Several methods have overcome these limitations but 2R-DESS answering the complete and accurate solutions to WRM. The advanced WRM system and its functionalities are verified on one example with the river basin agencies through DESS adequately. In this research work, for WRM calculating the various measures such as catchment area improvement, supply flow, upper flow, lower flow and acknowledgement of various effecting factors. The designed 2R DESS challenging the present WRM methodologies and results outperforms present technologies.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN KENAIKAN KELAS DENGAN MENGGUNAKAN METODE TOPSIS PADA SMK YAPIM MABAR

CCIT Journal ◽  
2018 ◽  
Vol 11 (2) ◽  
pp. 171-181
Author(s):  
Priantoni Hia ◽  
Hardianto Hardianto ◽  
Ratih Adinda Destari
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Programming Languages ◽  
Support System ◽  
Sql Server ◽  
Process Data ◽  
Effective Decision ◽  
Student Values ◽  
Effective Decision Support

The most important decision-making in schools is class decision making. The old way with the manual system can lead to slow decision-making. This is of course caused by a very basic problem, namely the decision-making is not appropriate. Therefore a decision support system is needed that can help the teacher to determine the class increase. The design of decision support system in this study aims to apply the application to determine the increase of class, To overcome the problem, required a decision support system of computerized class increase which later can produce quality decisions that can process data and student values ​​effectively and efficiently and can measure the ability of students both academically and non academic so that activities that have been done manually can be done using the computer and mistakes in decision-making class increase can be avoided as well as time in determining decision-making class increase much faster and effective. Decision support system is designed using visual basic programming languages ​​2010 and SQL Server 2008. The process in this study using Topsis method.

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