Policy Decision Modeling with Fuzzy Logic by Ali Guidara

Author:Ali Guidara
Language: eng
Format: epub
ISBN: 9783030626280
Publisher: Springer International Publishing

In this section, we present the last aspect related to the fuzzy inference systems that makes possible the simulation of the policy decision emergence. This aspect deals with Matlab® Fuzzy Logic Toolbox™ as a computational method. This toolbox is one of the most popular and powerful computing tools for modeling and simulating fuzzy inference models. However, the methodology developed in this book does not depend on this specific toolbox. The are many other computing techniques dedicated to fuzzy logic and fuzzy inference systems.8 Furthermore, the model developed in this research using Fuzzy Logic Toolbox™ can also be converted to a Python library with a built-in module that provides access to the system’s functionalities without the need of Matlab®.

According to MathWorks (2017), Fuzzy Logic Toolbox™ lets you model complex system behaviors using simple logic rules, and then implement these rules in a fuzzy inference system (pp. 1–2). It includes several interrelated complementary tools dedicated to the modeling and simulation steps of the fuzzy inference model. Figure 5.11 shows the tools of the Fuzzy Logic Toolbox™ dedicated to the design of fuzzy inference systems.

Fig. 5.11Fuzzy logic toolbox™ modules

Source The Mathworks, Matlab® user’s guide (2017)

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