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アクセスランキング（PKV）

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PKV: 現在知識価値 PKV-F: 高減衰 PKV 月間 年間 トータル レビュー数
順位 タイトル
著者 雑誌 巻 号 ページ 年 PKVアクセス数
116171 Resolution of fuzzy relation equations with increasing operations over complete lattices
Feng Sun, Xiao-bing Qu Information Sciences 570 None 451–467 2021 2.0
平均評価: / 5 ( 件のレビュー)
116172 MR-MVPP: A map-reduce-based approach for creating MVPP in data warehouses for big data applications
Hossein Azgomi, Mohammad Karim Sohrabi Information Sciences 570 None 200–224 2021 2.0
平均評価: / 5 ( 件のレビュー)
116173 Improved stability analysis of Takagi-Sugeno fuzzy systems with time-varying delays via an extended delay-dependent reciprocally convex inequality
Xue-Jun Pan, Bin Yang, Jun-Jun Cao, Xu-Dong Zhao Information Sciences 571 None 24–37 2021 2.0
平均評価: / 5 ( 件のレビュー)
116174 Subtraction and division operations on intuitionistic fuzzy sets derived from the Hamming distance
Wen Sheng Du Information Sciences 571 None 206–224 2021 2.0
平均評価: / 5 ( 件のレビュー)
116175 A fast diagonal distance metric learning approach for large-scale datasets
Tie Li, Gang Kou, Yi Peng, Philip S. Yu Information Sciences 571 None 225–245 2021 2.0
平均評価: / 5 ( 件のレビュー)
116176 Predicting circRNA-disease associations based on autoencoder and graph embedding
Jing Yang, Xiujuan Lei Information Sciences 571 None 323–336 2021 2.0
平均評価: / 5 ( 件のレビュー)
116177 An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems
Puyu Jiang, Yuansheng Cheng, Jiaxiang Yi, Jun Liu Information Sciences 569 None 728–745 2021 2.0
平均評価: / 5 ( 件のレビュー)
116178 Boolean factor based community extraction from directed networks with the non reciprocal link relationship
Norbert Tsopze, Félicité Gamgne Domgue Information Sciences 569 None 544–556 2021 2.0
平均評価: / 5 ( 件のレビュー)
116179 Interval-valued seminormed fuzzy operators based on admissible orders
Michał Boczek, LeSheng Jin, Marek Kaluszka Information Sciences 574 None 96–110 2021 2.0
平均評価: / 5 ( 件のレビュー)
116180 Inferring statistical trends of the COVID19 pandemic from current data. Where probability meets fuzziness
Bruno Apolloni Information Sciences 574 None 333–348 2021 2.0
平均評価: / 5 ( 件のレビュー)