A universal bio-signal and pattern acquisition, processing and decision supporting system

Author(s):  
B. Spyropoulos ◽  
P. Parvantonis ◽  
A. Mikronis ◽  
M. Maragkos ◽  
G. Argyrakis
2018 ◽  
Vol 4 (1) ◽  
pp. 29-39 ◽  
Author(s):  
Otto Fajarianto ◽  
Ardiyanto S. Widodo ◽  
Muhammad Iqbal Hanafri ◽  
Arianto ◽  
Arif Muchlisin Fauzi

Decision making on hiring outsourcing employment candidate which still manually has impact on stucking application data, obstacle on placement process and unreal in scoring criteria. In deciding decision needs specific criteria for scoring performance result. This criterion can be standardized in deciding advisable candidate. The purpose of this study is building a decision supporting system, help the company in giving score and choosing new employment. SAW method uses for calculating criteria value base on the highest degree and calculating is taken from normalisation process. The data will be inputted in decision supporting system, and then it will be calculated base on specific criteria. The score from each criterion will be calculated to get the highest score. The result will give recommendation for company in deciding advisable candidate.


2012 ◽  
Vol 457-458 ◽  
pp. 974-978
Author(s):  
Yi Yong Sui ◽  
Qing Wang Yuan ◽  
Tai Xiang Peng ◽  
Jian Lei Yang ◽  
Gui Shan Ren

2014 ◽  
Vol 926-930 ◽  
pp. 1140-1143
Author(s):  
Hui Gao ◽  
Hong Jiang Wu ◽  
Hai Yan Zhao

This paper combines the technical features of multi-agent to form the intelligent decision supporting system for exercise prescription of psychological disorder based on multi-agent. And studies for the system decision-making process and system implementation are also presented. Meanwhile, it shows the insufficiency of the intelligent decision supporting system to lay a foundation for the realization of computerization in exercise prescription of psychological disorder.


Sign in / Sign up

Export Citation Format

Share Document