@article{oai:nagoya.repo.nii.ac.jp:00018584, author = {渡辺, 芳信 and 吉川, 大弘 and 古橋, 武 and 大崎, 美穂 and WATANABE, Yoshinobu and YOSHIKAWA, Tomohiro and FURUHASHI, Takeshi and OSAKI, Miho}, issue = {5}, journal = {知能と情報 : 日本知能情報ファジィ学会誌 : journal of Japan Society for Fuzzy Theory and Intelligent Informatics}, month = {Oct}, note = {対話型進化計算(IEC)は,評価関数の定式化が困難な最適化問題に対して有効な手法の1つである.しかし対話型進化計算では,多数回の評価がユーザの負担になるという問題がある.本論文では,ユーザの負担を軽減するため,対話型進化計算に評価値推論法を適用する.評価値推論法では,過去に実際に評価された解候補とその評価値の情報を用いて評価値の推論を行う.しかし対話型進化計算では,人が解候補の評価を行うため,時間の経過や事前に評価した解候補の印象によって評価基準に変化が生じ,その結果評価値推論が適切に行えない可能性がある.そこで本論文では,推論精度に基づき実評価する解候補数を変化させることで,IECに評価値推論法を適用する際のデータベースの適切な更新手法を提案する.これにより,ユーザの評価基準の変化にも対応可能となる.IECを用いた補聴器フィッティングシステムに提案手法を適用し,従来法との比較を通じて,提案手法の有効性を検討する., Interactive Evolutionary Computation (IEC) is one of the effective methods for optimization problems which are difficult to formulate the evaluation function such as human sensitivity. This method, however, gives a big burden to the user because he/she himself/herself has to evaluate the candidates of solutions a lot of times. This paper employs a fitness inference method to reduce the burden for evaluation. When fitness inference method is applied to IEC, it can be a problem that the evaluation criterion for user has changed with the passage of time and/or impression given by the effects of other candidates. Because the fitness inference method infers the fitness values of candidates using the information of the actually evaluated solutions and their fitness values in previous generations. This paper proposes the fitness inference method with varying the number of actual evaluation for candidates based on the accuracy of inference for effective update of database. The proposed method can reduce the burden of evaluation following the user's evaluation criterion. This paper applies the proposed method to hearing aid adjustment support system using IEC and investigates the effectiveness of this method.}, pages = {810--816}, title = {対話型進化計算における実評価数可変型評価値推論法の適用}, volume = {20}, year = {2008} }