模糊推理技术在公路景观评价系统中的应用

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。

Application of Fuzzy Reasoning Technology to the Highway Landscape Evaluation System

Application of fuzzy reasoning technology to the highway landscape evaluation was studied and the credibility bidirectional reasoning method applied in the highway landscape evaluation was proposed.The expert evaluation decision was realized by this system and suggestions on landscape recovery were proposed,which was proved to be feasible by experiment results.The database of natural background data,spatial vector data serving as the subject and evaluation index factors of two sided of the road were established.Meanwhile,the knowledge base composing of expert knowledge and experience was set up.At the same time,model base and decision were established according to relative evaluation models.Decision support expert system with multi-base unified was realized.So the multi-evaluation on highways and their landscape around was realized,meanwhile,corresponding scheme and measures for disharmony evaluation results were proposed.