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Development of product recommendation system with AHP according to alternatives’ evaluation with normalization allocation and Hough conversion
Author(s) -
Yumoto Masaki
Publication year - 2019
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.12132
Subject(s) - analytic hierarchy process , normalization (sociology) , hough transform , computer science , data mining , operations research , artificial intelligence , reliability engineering , mathematics , image (mathematics) , engineering , sociology , anthropology
Analytic hierarchy process (AHP) is an effective method for product recommendation, because each evaluation criteria are evaluated for target objective, and each alternative are evaluated for each evaluation criteria. This method recommends alternatives to the user according to the total degrees of weight, which is calculated from these 2 kinds of evaluation values. The determination of weight is hard work, because of many evaluations. This paper proposes a product recommendation system with AHP according to Normalization allocation and Hough conversion in order to evaluate alternatives. Normalization allocation can calculate automatically the evaluation value of the alternatives for every criterion. Hough conversion can extract the number of straight line elements from the target image. Through the experiment, it is confirm that the proposal system can recommend alternatives as well as the conventional system.