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

fYear

2014

Firstpage

561

Lastpage

566

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Complex Systems (WCCS), 2014 Second World Conference on

Print_ISBN

978-1-4799-4648-8

Type

conf

DOI

10.1109/ICoCS.2014.7060897

Filename

7060897