Simulation study on decision-making to key investment region based on industrial cluster

2005 ◽  
Author(s):  
Yang Jianmei ◽  
Le Jianbing ◽  
Ma Fengbiao
Keyword(s):  
Decision Making ◽  
Simulation Study ◽  
Industrial Cluster

scholarly journals Dynamics of Military Conflict: an Economics Perspective

2014 ◽  
Vol 65 (2) ◽  
Author(s):  
Klaus B. Beckmann ◽  
Lennart Reimer
Keyword(s):  
Decision Making ◽  
Differential Games ◽  
Simulation Study ◽  
Economic Model ◽  
Dynamic Games ◽  
Rational Decision ◽  
Military Conflict ◽  
Rational Decision Making ◽  
Contest Success Functions ◽  
Military Theory

AbstractThis paper is concerned with methods for analysing patterns of conflict. We survey dynamic games, differential games, and simulation as alternative ways of extending the standard static economic model of conflict to study patterns of conflict dynamics, giving examples for each type of model.It turns out that computational requirements and theoretical difficulties impose tight limits on what can be achieved using the first two approaches. In particular, we appear to be forced to model the outcome of conflict as being decided in a single final confrontation if we employ non-linear contest success functions.A simulation study based on a new model of adaptive, boundedly rational decision making, however, is shown not to be subject to this limitation. Plausible patterns of conflict dynamics emerge, which we can link to both historical conflict and standard tenets of military theory.

Professional Competence and Intuitive Decision Making: A Simulation Study in the Domain of Emergency Medicine

2011 ◽  
Vol 5 (2) ◽  
pp. 119-136 ◽  
Author(s):  
Christian Harteis ◽  
Barbara Morgenthaler ◽  
Christine Kugler ◽  
Karl-Peter Ittner ◽  
Gabriel Roth ◽  
...  
Keyword(s):  
Decision Making ◽  
Emergency Medicine ◽  
Simulation Study ◽  
Professional Competence ◽  
Intuitive Decision Making

LEARNING DECISION FUNCTIONS IN THE FUZZY γ-MODELS

2000 ◽  
Vol 09 (04) ◽  
pp. 459-471 ◽  
Author(s):  
JUNG-HSIEN CHIANG
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Simulation Study ◽  
Information Aggregation ◽  
Aggregation Operator ◽  
Decision Making Process ◽  
Hierarchical Network ◽  
Numerical Examples ◽  
Fuzzy Models ◽  
Degree Of Satisfaction

In this approach, we investigate the fuzzy γ-models for decision analysis and making. This methodology utilizes fuzzy γ-model as an information aggregation operator. It provides several advantages due to the fact that the input to each model is the evidence supplied by the degree of satisfaction of sub-criteria and the output is the aggregated evidence. We also generalize fuzzy γ-models as a hierarchical network in this work. Thus, the decision making process is to aggregate and propagate the evidence information through such a hierarchical network. This trainable network is able to perceive and interpret complex decisions by using those fuzzy models. The simulation study examines the learning behaviors of the fuzzy γ-models using two numerical examples.

Conflict resolution in group decision making: insights from a simulation study

2019 ◽  
Vol 29 (5) ◽  
pp. 895-941 ◽  
Author(s):  
Thuy Ngoc Nguyen ◽  
Francesco Ricci ◽  
Amra Delic ◽  
Derek Bridge
Keyword(s):  
Decision Making ◽  
Conflict Resolution ◽  
Group Decision Making ◽  
Simulation Study ◽  
Group Decision

scholarly journals When Does Diversity Trump Ability (and Vice Versa) in Group Decision Making? A Simulation Study

PLoS ONE ◽  
2012 ◽  
Vol 7 (2) ◽  
pp. e31043 ◽  
Author(s):  
Shenghua Luan ◽  
Konstantinos V. Katsikopoulos ◽  
Torsten Reimer
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Simulation Study ◽  
Group Decision
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