Scenic quality must be assessed in forests for which recreational opportunities have become more important then traditional wood products. Current assessment methods focus on quantitative evaluations that provide digital information to the users. Usually, people prefer more explicit information (i.e., categorical data) than detailed quantitative data on scenic quality assessment. This paper employed fuzzy-logic terminology to define the scenic information of forests, and then tried to develop an expert system for evaluating scenic quality based on fuzzy reasoning. Results showed that a fuzzy-logic-based expert system using a qualitative model labeled with linguistic terms, makes scenic beauty evaluation intuitive and understanding easy by viewing the categorical physical features of forests. This research developed a methodology of building an expert system in this area. It is capable of providing an efficient and useful tool for forest recreation users and forest managers.
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Liao et al. (2000) studied this question.
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