文章基本信息

标题：AN IMPROVEMENT OF SIMILARITY IN CASE BASED REASONING USING SUBJECTIVE-GENERALIZED WEIGHT FOR TRADITIONAL INDONESIAN CUISINE
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作者：SETYAWAN WIBISONO ; WIWIEN HADIKURNIAWATI ; HERNY FEBRUARIYANTI 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：5
页码：864-875
出版社：Journal of Theoretical and Applied
摘要：In this study, a system for providing recommendations from a traditional Indonesian food recipe consultation using the CBR (Case Based Reasoning) method was designed. A recommendation is given based on the similarity of the input in the form of ingredients for cooking compared to the ingredients for cooking from a recipe that has been stored in the database. Increasing the accuracy of the similarity value is the goal to be achieved in this study. This method used is intented to give the weight to each food-forming material, then the Dice algorithm is used to calculate the value of similarity. Weighting is determined subjectively but takes into account the principle of appropriateness in general. Test the validity of the weight value using the weighting principles in the AHP (Analytical Hierarchy Process). This makes the value of the similarity of a recipe suggestion more accurate because it considers proportional weighting of the ingredients forming the recipe.
关键词：consultation similarity value;CBR;weighting;Dice algorithm;AHP