Integrated Scheduled Waste Management System in Kuala Lumpur using expert system

• Main Authors: Kabbashi, Nassereldeen Ahmed, Jami, Mohammed Saedi, Md Azman, Nur Adibah
• Other Authors: Vizureanu, Petrica
• Format: Book Chapter
• Language: English
• Published: InTech - Open Access Publisher 2011
• Subjects: TA168 Systems engineering
• Online Access: http://irep.iium.edu.my/2629/4/Chapter.pdf; http://irep.iium.edu.my/2629/; http://www.intechweb.org/books/show/title/expert-systems-for-human-materials-and-automation
• Institution: Universiti Islam Antarabangsa Malaysia

Over the past decade, Malaysia has enjoyed tremendous growth in its economy and population, this resulted in an increase in the amount of waste scheduled generated. Furthermore, scheduled waste management has long been a problem area for local authorities in Kuala Lumpur. Continued illegal dumping by waste generators is being practiced at large scale due to lack of proper guidance and awareness. This paper reviewed discussed and suggested about service provided for scheduled waste management by an authority and international scenario of scheduled waste management. An expert system was developed to integrate scheduled waste management in Kuala Lumpur. The knowledge base was acquired through journals, books, magazines, annual report, experts, authorities and web sites. An object oriented expert system shell, Microsoft Visual Basic 2005 Express Edition was used as the building tools for the prototype development. The overall development of this project has been carried out in several phases which are problem identification, problem statement and literature review, identification of domain experts, prototype development, knowledge acquisition, knowledge representation and prototype development. Scheduled waste expert system is developed based on five types of scheduled waste management which are label requirements, packaging requirements, impact of scheduled wastes, recycling of scheduled wastes, and recommendations. Besides, it contains several sub modules by which the user can obtain a comprehensive background of the domain. The output is to support effective integrated scheduled waste management for KL and world-wide as well.