Open AccessPersonnel Selection Method Based on Personnel-Job Matching
Author(s) -
Li Wang,
Xilin Hou,
Lili Zhang
Publication year - 2013
Publication title -
international journal of business administration
Language(s) - English
Resource type - Journals
eISSN - 1923-4015
pISSN - 1923-4007
DOI - 10.5430/ijba.v4n1p105
Subject(s) - matching (statistics) , disadvantage , selection (genetic algorithm) , computer science , job satisfaction , personnel selection , seekers , fuzzy logic , human resource management , operations research , knowledge management , artificial intelligence , management , economics , mathematics , statistics , law , political science
The existing personnel selection decisions in practice are based on the evaluation of job seeker's human capital, and it may be difficult to make personnel-job matching and make each party satisfy. Therefore, this paper puts forward a new personnel selection method by consideration of bilateral matching. Starting from the employment thoughts of “satisfy”, the satisfaction evaluation indicator system of each party are constructed. The multi-objective optimization model is given according to the job seekers satisfaction and jobs satisfaction. By the method of fuzzy multi-objective optimization model, based on the thought of “disadvantage” is as shorter as better, the selection results are obtained. The effectiveness and feasibility of the proposed method is illustrated by an example