KBSLUA: A knowledge-based system applied in river land use assessment

The assessment of river land use is an important, but complex and time-consuming task that has to deal with a huge amount of data, domain regulations, legal aspects, and expert knowledge in terms of environmental protection, ecology, and water resource reuse. This paper presents a knowledge-based system (KBSLUA) that is used to help the assessment of development plans for river land use. A salient function of the KBSLUA is its user interface, which utilizes the functions of an existing geographic information system to retrieve geographic data as the inputs of assessment activities. Decision tables are used to acquire expert knowledge, and a forward chaining inference mechanism is utilized to derive assessment suggestions and assessment results. Two test cases are used to demonstrate the proposed KBSLUA.