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本文研究模糊推理技术在公路景观评价领域的应用,提出采用可信度的双向推理方法用于公路景观评价及恢复系统中,该系统实现领域专家的评价决策,并针对评价结果提出景观的恢复建议,实验结果证明了方法的可行性。该系统在实现过程中建立公路两侧自然本底数据、空间矢量数据、评价指标因子等为主体的数据库;同时还建立由专家知识及经验构成的知识库;相关的评价模型建立模型库和决策库;实现多库统一的决策支持专家系统,实现对公路自身和周围景观的多样性评价;同时对不和谐的评价结果提出相应的恢复方案和措施。
This paper studies the application of fuzzy inference technology in the field of highway landscape assessment and proposes a two-way reasoning method based on credibility to be used in highway landscape assessment and restoration system. The system realizes the field experts’ evaluation and decision-making, and proposes landscape restoration suggestions The experimental results prove the feasibility of the method. In the course of realization, the system establishes a database mainly composed of natural background data, space vector data, evaluation index factors and the like, as well as a knowledge base formed by expert knowledge and experience. The relevant evaluation models establish model bases and decision-making Library; to achieve multi-library unified decision support expert system to achieve the road itself and the surrounding landscape diversity assessment; at the same time the discordant evaluation results put forward the corresponding recovery programs and measures.