Building Assessment Expert System

A Rule-Based Expert System Using Fuzzy Logic for Building Damage Assessment

Visit the Application Here

A Full report

---

About the Project

• this system has 2 subsystems :
  • one for getting the damage percentage
  • the other is for getting the habitability and repairability from the damage percentage and the age

This is a rule-based expert system that uses more than 44+ Rules designed for building damage assessment. It uses fuzzy logic to handle uncertainty and imprecision in the assessment process. Using Python's skfuzzy library for fuzzy logic and Flask for the user interface, this system offers a streamlined way to evaluate building conditions based on key input factors. The system provides damage severity, habitability, and repair recommendations.

---

Features

• Fuzzy Logic Implementation: Utilize Python's scikit-fuzzy for flexible and robust fuzzy logic inference.
• Rule-Based Reasoning: Assess building damage based on predefined expert rules and decision matrices.
• Uncertainty Management: Handle ambiguous data effectively.
• Interactive User Interface: Developed using Flask for a seamless user experience.
• Real-Time Output Visualization: Results include severity percentages, habitability evaluations, and repair recommendations.

---

Live Application

You can try the live application here:
Building Assessment Expert System

---

Project Structure

BUILDING_ASSESSMENT_EXPERT_SYSTEM/
│
├── flask_app/                    # Main Flask application
│   ├── templates/                # HTML templates for the Flask UI        
│   │   └── index.html            # Main HTML file
│   ├── damage_assessment_api.py  # Flask API for assessments
│   ├── ES.py                     # Expert system core logic
│   └── requirements.txt          # List of Python dependencies
│
├── plots/                        # Visualizations and analysis plots
│   ├── areaVScol.png
│   ├── areaVSrubble_percentage.png
│   ├── Habitability.png
│   ├── hightVSrubble_percentage.png
│   └── Repairability.png
│
├── .gitattributes                # Git attributes for repository
└── fuzzy_expert_system.ipynb     # Jupyter Notebook for development and testing

You can explore the provided notebook for fuzzy ES. code explaination

---

Test Cases from the Notebook:

Case 1

Input for the first ES	value
building_hight	3 floors
ruble_percentage	0.20
building_area	250
intact_col	2
tilt	0

Damage	val
0.38	Moderate

after getting the damage we use it in the other sys as following:

Input for the first ES	value
building damage	0.23
building_age	60 years

Output	val
habitability	prohibited
reparability	Strengthening

the damage output:

Technologies Used

• Python 3.8+
• Flask: Web framework for creating the UI and API.
• scikit-fuzzy: Python library for fuzzy logic and uncertainty modeling.
• Matplotlib: For data visualization and graphing results.

---

Contributing

Contributions are welcome! If you’d like to improve this project, feel free to:

1. Fork the repository.
2. Create a new branch
3. Commit your changes
4. Push to your branch
5. Open a Pull Request.

---

Contact

For questions, feedback, or suggestions, feel free to contact me:

• Email: halnakhal1@smail.ucas.edu.ps
• GitHub: HananMoAlnakhal Profile