Titlebook: Rough Sets and Knowledge Technology; 7th International Co Tianrui Li,Hung Son Nguyen,Hong Yu Conference proceedings 2012 Springer-Verlag Be

OBESE

書目名稱Rough Sets and Knowledge Technology影響因子(影響力)




書目名稱Rough Sets and Knowledge Technology影響因子(影響力)學(xué)科排名




書目名稱Rough Sets and Knowledge Technology網(wǎng)絡(luò)公開度




書目名稱Rough Sets and Knowledge Technology網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Rough Sets and Knowledge Technology被引頻次




書目名稱Rough Sets and Knowledge Technology被引頻次學(xué)科排名




書目名稱Rough Sets and Knowledge Technology年度引用




書目名稱Rough Sets and Knowledge Technology年度引用學(xué)科排名




書目名稱Rough Sets and Knowledge Technology讀者反饋




書目名稱Rough Sets and Knowledge Technology讀者反饋學(xué)科排名

ALOFT

A New Intuitionistic Fuzzy Rough Set Approach for Decision Supportcalled believable rules, for better performance in decision-making. We provide an example to demonstrate the effectiveness of the proposed approach in multicriteria sorting and also a comparison with existing representative DRSA models.

貝雷帽

丑惡

staging

Evidential Clustering or Rough Clustering: The Choice Is Yourslar K-means algorithm namely Rough k-means (RKM) is proposed and experimented with various datasets..In this paper we analyzed both the algorithms using synthetic, real and standard datasets to determine similarities of these two clustering approaches and focused on the strengths of each approach.

MEAN

表狀態(tài)

A Fuzzy-Rough Sets Based Compact Rule Induction Method for Classifying Hybrid Datae-art methods for hybrid data learning. Comparative studies indicate that rule sets extracted by this method can not only achieve comparable accuracy, but also get more compact rule sets. It is therefore concluded that the proposed method is effective for hybrid data learning.

苦笑

Conference proceedings 2012 China during August 2012, as one of the co-located conferences of the 2012 Joint Rough Set Symposium, JRS 2012. The 63 revised papers (including 42 regular and 21 short papers) were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on rough sets

Sputum

異端

Data-Driven Valued Tolerance Relationl calculation method of tolerance degree needs to know the probability distribution of an information system in advance, and it is also difficult to select a suitable threshold. In this paper, a data-driven valued tolerance relation is proposed based on the idea of data-driven data mining. The new c