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A three-way grey incidence clustering approach with changing decision objects

  • Published:2019-11 Issue: Volume:137 Page:106087
  • ISSN:0360-8352
  • Container-title:Computers & Industrial Engineering
  • language:en
  • Short-container-title:Computers & Industrial Engineering

Author:

Liu Yong,Zhang Ren-Shi

Funder

National Natural Science Foundation of China

Humanities and Social Sciences of Education Ministry

Natural Science Foundation of Jiangsu Province

Soft Science Foundation of Jiangsu Province

Jiangsu Province University Philosophy and Social Sciences for Key Research Program

Fundamental Research Funds for the Central Universities

Tender Project from Wuxi Federation of Philosophy and Social Sciences

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference64 articles.

1. A three-way clustering approach for handling missing data using GTRS;Afridi;International Journal of Approximate Reasoning,2018

2. A dynamic multiple attribute decision making model with learning of fuzzy cognitive maps;Baykasoğlu;Computers & Industrial Engineering,2019

3. Knowledge reduction of dynamic covering decision information systems caused by variations of attribute values;Cai;International Journal of Machine Learning and Cybernetics,2017

4. An efficient approximation to the K-means clustering for massive data;Capó;Knowledge-Based Systems,2017

5. A rough set-based method for updating decision rules on attribute values’ coarsening and refining;Chen;IEEE Transactions on Knowledge and Data Engineering,2014

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