定性的評価にラフ集合の決定ルールを用いたAHPによる商品選択支援システムの開発
定性的評価にラフ集合の決定ルールを用いたAHPによる商品選択支援システムの開発
カテゴリ: 論文誌(論文単位)
グループ名: 【C】電子・情報・システム部門
発行日: 2019/09/01
タイトル(英語): Development of Decision Support System for Product Selection based on AHP, using the Decision Rule of Rough Set for Qualitative Evaluation
著者名: 湯本 真樹(近畿大学理工学部電気電子工学科)
著者名(英語): Masaki Yumoto (Department of Electric and Electronic Engineering, Faculty of Science and Engineering, Kindai University)
キーワード: 商品選択支援システム,AHP(階層分析法),ラフ集合,決定ルール,代替案,定性的評価 decision support system of product selection,AHP (Analytic Hierarchy Process),rough conversion,decision rule,alternative,qualitative evaluation
要約(英語): The analytic hierarchy process (AHP) is an effective method for product selection support because it evaluates alternatives based on the total weight, which is a quantitative value. The total weight is obtained by multiplying the ratio of each evaluation criterion for the target user and the weights of alternatives in each evaluation criterion. The determination of weights in the qualitative evaluation criterion is difficult because of the necessity to compare the questionnaire results of all alternatives.This paper proposes Decision Support System for Product Selection based on AHP, using the decision rule of Rough Set for Qualitative Evaluation. The proposed system makes decision rules based on the target user's judgement of “Good” or “Bad” on several samples in the qualitative evaluation criterion. Decision rules have a qualitative and quantitative evaluation value for each attribute, and the system calculates the weight of the AHP through normalization of these evaluation values. The user can know the results easily, because the evaluation method of alternative samples in the proposed system is the same as that of correspondence with the shop assistant in an actual store. Based on two experiments, we confirm that the setup of attributes for decision rules of rough sets is one of the most important elements of the proposed system.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.139 No.9 (2019) 特集:知能メカトロニクス分野と連携する知覚情報技術
本誌掲載ページ: 1080-1091 p
原稿種別: 論文/日本語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/139/9/139_1080/_article/-char/ja/
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