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Group Members

1. Shyanne Lim (76770)
2. Natasha Serena (75991)
3. Nasuha Binti Majain (75975)
4. Wennylyn G. Macan Santos (77158)
5. Lolita Lola Louis (75494)
6. Nadiatul Aliah (75962)

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TO - DO LIST (Part A)

Part A:
- Choose topic  (DONE)
- Define Fuzzy Variables  (DONE)
- Define the Fuzzy Sets for each Fuzzy Variable  (DONE)
- Define the Decision Rules  (DONE)
- Create a complete .fis file  (DONE)
- Create .mlapp file  (DONE)
- Create .m file  (DONE)
- Fuzzy Inference System Tuning and Evaluation  (DONE)
- Update presentation slides and padlet (DONE)

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TO - DO LIST (PART B)

- Install Global Optimization Toolbox (DONE)
- Examine the Travelling Salesman Problem (DONE)
- Create a complete coding code (DONE)
- Modify the example given(DONE)
- Show the result using MatLab (DONE)
i. Result without path
ii. Result with path

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For part A:
1. How to generate each Fuzzy Inference System?
2. Topic for section A and how to implement the input and output using MATLAB

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Title
- Implementing Fuzzy Logic in Washing Machine System

System Description
- main goal is to implement fuzzy logic in an Washing Machine system by considering a few inputs to produce a single output

- proposed a graphical user interface (GUI) that utilizes all 3 FIS to display the final output of the last FIS, which is the rinse cycle duration.

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FIS 1 PLOT

FUZZY INPUT VARIABLES:
=Degree of dirtiness
=Load Size

FUZZY OUTPUT VARIABLES:
=Detergent Amount

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DECISION RULES FOR FIS 1
MEMBERSHIP FUCTIONS :
Degree of Dirtiness ( Low, Medium, High)
Load Size (Small, Medium, Large)

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FIS 2 PLOT

FUZZY INPUT VARIABLES:
=Soil Level
=Fabric Type

FUZZY OUTPUT VARIABLES:
=Washing Time

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DECISION RULES FOR FIS 2
Membership Functions:
Soil Level ( Low, Medium, High)
Fabric Type (Delicate, Normal, Heavy Duty)

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FIS 3 PLOT

FUZZY INPUT VARIABLES:
=Detergent Amount
=Washing Time

FUZZY OUTPUT VARIABLES:
=Rinse Cycle Duration

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DECISION RULES FOR FIS 3
Membership Functions
Detergent Amount (Low, Medium, High)
Washing Time (Short, Medium, Long)