Using fuzzy logic to implement decision policies in system dynamics models

被引:16
作者
de Salles, Daniel Cardoso [1 ]
Goncalves Neto, Armando Celestino [1 ]
Marujo, Lino Guimaraes [1 ]
机构
[1] Univ Fed Rio de Janeiro, Polytech Sch, Dept Ind Engn, Ave Athos da Silveira Ramos 149,POB 64548, BR-21941909 Rio De Janeiro, Brazil
关键词
Fuzzy logic; System dynamics; Balance dynamic scorecard; Managerial dashboard; SIMULATION; OPTIMIZATION;
D O I
10.1016/j.eswa.2016.01.048
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper aims to show how the use of fuzzy systems can enhance the application of system dynamics (SD), with the construction of virtual worlds, for organizational learning. By doing so, the main contribution is to propose a fuzzy-SD integrated methodology that allows a natural language modeling of decision policies. At first it will be revised the recent literature with practical and theoretical fuzzy-SD integration showing that the motivation and purpose of this article have not been explored yet. Following, it will be scrutinized the origin of system dynamics to theoretically justify the proposed fuzzy-SD integration for organizational learning. Finally, it will be presented a hypothetical case study based on the balance scorecard model to illustrate the methodology in action. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:172 / 183
页数:12
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