Abstract
The landscape study is an interpretation task, usually performed in environmental planning, for which a wide range of expert knowledge sources is required. In order to help the experts in this field, a rule-based system that operates on fuzzy domains, has been used. However, some consistency problems together with an insufficient capability of adaptation to users' requirements have been detected. To improve this system, a new knowledge-based system has been designed and implemented. This approach exploits the fact that gradual knowledge rules are available, as these were obtained in the knowledge acquisition phase. In this work, we describe the main characteristics of such a system as well as its contribution to improve the capacity of adaptation to a great variety of user' inputs.
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Martínez-Béjar, R., Martin-Rubio, F. (1998). Landscape: A knowledge-based system for visual landscape assessment. In: Pasqual del Pobil, A., Mira, J., Ali, M. (eds) Tasks and Methods in Applied Artificial Intelligence. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64574-8_471
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DOI: https://doi.org/10.1007/3-540-64574-8_471
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