Titlebook: Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam; Volume 1 Andrzej Skowron,Zbigniew Suraj Book 2013 Springer-Verl

whiplash

书目名称Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam影响因子(影响力)




书目名称Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam影响因子(影响力)学科排名




书目名称Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam网络公开度




书目名称Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam网络公开度学科排名




书目名称Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam被引频次




书目名称Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam被引频次学科排名




书目名称Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam年度引用




书目名称Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam年度引用学科排名




书目名称Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam读者反馈




书目名称Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam读者反馈学科排名

Tortuous

,Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence,ins testimonies of many collaborators, colleagues and friends pointing to Professor’s scientific achievements and his personal qualities. In short, we present Professor Pawlak as a truly great scientist, teacher and human being.

Kindle

An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification,s: positive, boundary, and possible. The quality of these rules was evaluated using ten-fold cross-validation on five data sets. The main results of our experiments are that there is no significant difference in quality between positive and possible rules and that boundary rules are the worst.

鸣叫

Rough Support Vectors: Classification, Regression, Clustering,tor technologies for classification, prediction, and clustering. The theoretical formulations of rough support vector machines, rough support vector regression, and rough support vector clustering are supported with a summary of experimental results.

合并

,Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence,in Computer Engineering and Computer Science with worldwide influence..To capture the spirit of Professor Pawlak’s creative genius, this chapter contains testimonies of many collaborators, colleagues and friends pointing to Professor’s scientific achievements and his personal qualities. In short, we

Biofeedback

背书

Approaches for Updating Approximations in Set-Valued Information Systems While Objects and Attribut uncertain if-then rules can be unrevealed from different regions partitioned by approximations. In real-life applications, data in the information system are changing frequently, ., objects, attributes, and attributes’ values in the information system may vary with time. Therefore, approximations m

Hyperopia

An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification,ralized by adding two parameters, denoted by alpha and beta. In our experiments, for different pairs of alpha and beta, we induced three types of rules: positive, boundary, and possible. The quality of these rules was evaluated using ten-fold cross-validation on five data sets. The main results of o

Postulate

Rough Representations of Ill-Known Sets and Their Manipulations in Low Dimensional Space,ssigned a possible degree, the ill-known set is called a graded ill-known set. In this chapter, we focus on manipulations of graded ill-known sets, a possibility distribution on the power set. Two fuzzy sets on the universe called lower and upper approximations are uniquely defined from a graded ill

LINE