Title :
Extending NetLogo with Interval Type-2 Fuzzy Inference Systems
Author :
Castanon-Puga, Manuel ; Flores-Parra, Josue Miguel ; Gaxiola-Pacheco, Carelia ; Palafox-Maestre, Luis Enrique ; Ahumada-Tello, Eduardo
Author_Institution :
Chem. & Eng. Sch., Univ. Autonoma de Baja California, Tijuana, Mexico
Abstract :
The use of computational intelligence in a Multi-Agent System (MAS) can aid the process of modelling complex social phenomena. Fuzzy Inference Systems (FIS) have been broadly used in control systems on engineering applications, but this also in Social Simulation could be very useful due the possibility to represent non-linear systems. In Type-2 Fuzzy Logic, uncertainty was introduced on the model enriching the capability of description in complex decision-making systems. In this paper, we introduce an Interval Type-2 Fuzzy Inference System extension for Netlogo, which is a very used computational modelling tool. With this extension, we aim to implement complex decision making systems in MAS and Social Simulation using Type-2 Fuzzy Logic.
Keywords :
decision making; digital simulation; fuzzy logic; inference mechanisms; multi-agent systems; programming languages; FIS; MAS; NetLogo; complex decision-making systems; complex social phenomena modelling; computational intelligence; computational modelling tool; interval type-2 fuzzy inference systems; multiagent system; nonlinear systems; social simulation; type-2 fuzzy logic; Computational modeling; Uncertainty;
Conference_Titel :
Complex Systems (WCCS), 2014 Second World Conference on
Print_ISBN :
978-1-4799-4648-8
DOI :
10.1109/ICoCS.2014.7060897
