Open AccessA Simulation of Nominal Group Technique using Particle Swarm Optimization
Author(s) -
Zhenzhou An,
Yang Yang,
Yizhong Ma,
Jun Zhang,
Hui Zhou
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1544/1/012024
Subject(s) - particle swarm optimization , group (periodic table) , group decision making , perspective (graphical) , computer science , process (computing) , mathematical optimization , artificial intelligence , management science , mathematics , algorithm , psychology , engineering , social psychology , physics , quantum mechanics , operating system
The nominal group technique (NGT) is a pattern of group decision-making technique in organizational behavior. Its research work is mainly focused on applications in different fields, and there is less research on algorithm simulation. In this paper, a method of NGTPSO is proposed in which NGT will be introduced into PSO and an attempt will be made to simulate NGT using PSO. From the perspective of PSO, PSO using NGT adds group decision-making technique. It characterizes the activity of individual and group through the grouping, individual optimizing, small-group discussion operation, large-group discussion operation and large-group decision operation. From the perspective of NGT, the decision process of NGT is simulated by PSO. The results show that the simulations of the algorithm are effective. The simulations show that small-group decision is better than or equal to individual decision and large-group decision is better than or equal to small-group decision. This is consistent with the basic principles of organizational behavior and it provides a good explanation for the relationship between NGT and PSO.