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Abstract:An expert system was developed to assist proper implementation of landfill technology in Sri Lanka. The knowledge base was acquired through text books, manuals, technical reports, research publications and domain experts. An object oriented expert system shell, ACQUIRE 2.1 was used as the building tool for the prototype development. BESTFill expert system contains several sub modules by which the user can obtain a comprehensive background of the domain. The output is expected to support effective integrated solid waste management.

Abstract:Artificial Intelligence applications have immense potential to fill the knowledge gaps that exist in developing countries. During the past decades, many AI applications have developed to solve structured problem domain and less concern about complex problem domain such as solid waste management. Hence, solid waste management is a burning environmental issue in developing countries due to lack of expertise and information assimilation paths. To fill this knowledge gap a user-friendly decision support system (DSS), BESTCity is developed. This paper describes the techniques used for the development stage and robustness of BESTCity DSS. Much evident clean cities in developed economies with the huge amount of knowledge available could be intelligently managed to solve issues in developing countries, which is the main objective of BESTCity.