LANDSCAPE: A knowledge-based system for visual landscape assessment

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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 knowledgebased 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., & Martín-Rubio, F. (1998). LANDSCAPE: A knowledge-based system for visual landscape assessment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1416, pp. 849–855). Springer Verlag. https://doi.org/10.1007/3-540-64574-8_471

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