C++ Neural Networks and Fuzzy Logic: Preface

Crisp Input RangeFuzzy Variable

0–2XSmall

1.5–4Small

3–7Medium

6–8.5Large

7.5–10XLarge

Figure 16.3

  Fuzzy membership functions for LevelSense.

Table 16.13 Fuzzy Variable Ranges for TempSense

C++ Neural Networks and Fuzzy Logic:Preface

Step One: Defining Inputs and Outputs for the FLC

401

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Crisp Input RangeFuzzy Variable

0–20XSmall

10–35Small

30–75Medium

60–95Large

85–125XLarge

Figure 16.4

  Fuzzy membership functions for TempSense.

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 IDG Books Worldwide, Inc.

C++ Neural Networks and Fuzzy Logic:Preface

Step One: Defining Inputs and Outputs for the FLC

402

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C++ Neural Networks and Fuzzy Logic

by Valluru B. Rao

MTBooks, IDG Books Worldwide, Inc.

ISBN: 1558515526   Pub Date: 06/01/95

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Step Three: Set Up Fuzzy Membership Functions for the Output(s)

In our example, we have just one output, which is the HeatKnob. We need to assign fuzzy memberships to

this variable just as we did for the inputs. This is shown in Table 16.14 and Figure 16.5. We use different

variable names to make the example clearer later on.

Table 16.14 Fuzzy Variable Ranges for HeatKnob