Dissertation > Excellent graduate degree dissertation topics show

Research on group behavior of nonlinear decision model based on pressure field

Author: QiZheng
Tutor: MaJun
School: Capital University of Economics
Course: Management Science and Engineering
Keywords: Crowd Behavior Decision Bayesian Network Multiple Factors Simulation
CLC: C934
Type: Master's thesis
Year: 2014
Downloads: 1
Quote: 0
Read: Download Dissertation

Abstract

Crowd behaviors have been concerned for several years due to its large scale ofinfluence and the highly security risk brought about. The relevant researches can provideus a help to reveal the formation of crowd behaviors and furthermore help us to developrelevant preventive measures. It is known that crowd behaviors are driven by externalpressure. Previous studies generally take psychological methods or non-difference in thebehavior of individual quantitative research methods. But these methods are often unableto achieve the goal to truly reveal the process of crowd behaviors.In this paper, the decision-making process of group behavior is chronologicallydivided into three stages: decision-making with no pressure stage, decision-making withcan-withstand pressure stage, decision-making with cannot-withstand pressure stage.Considering no pressure stage and cannot-withstand pressure stage are mainly based onthe individual preference selection and herd behaviors, not the focus of this study, theportion in this article is cut down. Decision-making with Can-withstand pressure stagecan fully reflect the group behavior, so I put my main focus on it in this research article.This paper uses the Bayesian network decision method to effectively classify andconstructs a decision-making group behavior mathematical model with fullyconsideration of the information decision-makers previously possessed andenvironmental impact on decision makers, meanwhile reasonably reflects thedecision-making process with pressure.This paper comprehensively describes the formation of decision making process incrowd behavior under the influence of the external environment, summarizes the factorsaffecting the decision-making in crowd behavior, use Bayesian networks to effectivelyanalyze the final weights generating process under the joint effect of a variety of non-independent factors, and uses computer simulation techniques to simulate the nonlineardecision-making process of crowd behavior under pressure. These works can providesome guide and reference to other relevant researches.

Research on group behavior of nonlinear decision model based on pressure field

Abstract

Related Dissertations