DocumentCode :
2960715
Title :
Classifying and Applying Study on Personnel´s Ability Characteristics
Author :
Liu Ying ; Zheng Yi
Author_Institution :
Sch. of Mech. & Vehicular, Beijing Inst. of Technol., Beijing, China
fYear :
2011
fDate :
12-14 Aug. 2011
Firstpage :
1
Lastpage :
4
Abstract :
Brain information processing is a movement process, and its movement characteristics directly control the behavior and action traits of human being. Firstly, the article introduces a kind of method that revealing brain information processing characteristics by the continuous numerical comparing based on computer. Secondly, ability feature on movement characteristics of brain information processing is defined. And then the "common" approach is presented that is used to gain the classes. Lastly, through analyzing the personnel\´s detection results in a computer company, the article studies personnel ability characteristics\´ distribution and offers reference data for human resource management. The classifying method has very important academic significance to the study of different individual\´s ability characteristics. And indexes on features on movement characteristics of brain information processing have the value of practical application to personnel selection and management, mentality health diagnosis and consult.
Keywords :
behavioural sciences; brain; industrial psychology; patient diagnosis; personnel; probability; brain information processing characteristics; computer company; continuous numerical comparing approach; human resource management; mentality health diagnosis; movement characteristics; movement process; personnel ability characteristic distribution; personnel detection; personnel management; personnel selection; Bismuth; Computers; Gaussian distribution; Indexes; Information processing; Personnel; Presses;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
Type :
conf
DOI :
10.1109/ICMSS.2011.5998038
Filename :
5998038
Link To Document :
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