Abstract
In our previous study, we proposed a recommender system for interior design drawing retrieval. The yes-no binary measurement scale is used in that paper for binary bit string cosine similarity matching. In further practical application, we found that the design features could be interval, nominal, ordinal or ratio scales. However, current cosine similarity measure scarcely deals with mixed interval, nominal, ordinal and ratio scales. The cosine similarity measure function fails to measure mixed qualitative and quantitative scales simultaneously. Therefore, in this study a new fuzzy similarity matching model for mixed measurement scales is proposed and applied to the recommender system. Finally, a numerical case study is carried out to demonstrate the effectiveness and capabilities of the proposed similarity matching model for handling interior design drawing recommendation problems.
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