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MIWAI 2013 is supported by:
Publication

MIWAI 2013 Proceedings will be published in LNAI.
News
List of accepted papers
MIWAI'13: Registration Information
Submission deadline has been re-extended to July 31, 2013.
• This year, MIWAI'13 also features special sessions on:
 -> Machine Learning and Text Analytics.
 -> Soft Clustering.
 -> Three-way Decisions and Probabilistic Rough Sets.
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Welcome to MIWAI'13
The 7th Multi-Disciplinary International Workshop on Artificial Intelligence
December 9-11, 2013 at Krabi, Thailand
MIWAI'13: Special sessions
  1. Machine Learning and Text Analytics.
  2. Soft Clustering.
  3. Three-way Decisions and Probabilistic Rough Sets.
Post Date: 17-06-2013 | By: Admin
Details

Three-way Decisions and Probabilistic Rough Sets.

Session Chairs

Dr. Hong Yu
yuhong@cqupt.edu.cn

Dr. Bing Zhou
bxz003@shsu.edu

Brief Description:
   Decision-theoretic rough set model is a typical probabilistic rough set model. The 7th Multi-Disciplinary Workshop on Artificial Intelligence (MIWAI 2013) keeps on inviting the submission of original and unpublished research papers. This special session aims to bring together researchers and practitioners in the field of probabilistic rough sets, decision-theoretic rough set model, three-way decisions and its applications. Three-way decisions method with probabilistic rough sets provide a meaningful semantics interpretation of the three regions in the rough set theory. A broad scope of research on the three-way decisions and probabilistic rough sets will contribute to a better understanding of the essentials of rough set theory and effective applications in decision theory. In recent work, the three-way decisions and probabilistic rough sets have been successfully used for decision analysis, decision making, cluster analysis, information filtering, Web-based support systems, attribute reduction, multi-criteria classification and multi-view decision models. The Special Session will encourage all research work related to the three-way decisions method and probabilistic rough sets theory and applications.

Scope and Topics
   Topics of this session focus on the following fields (but not limited to):

  • Theoretical foundations of probabilistic rough sets
  • Theoretical foundations of decision-theoretic rough sets
  • Theoretical foundations of three-way decisions
  • Bayesian rough sets
  • Game-theoretic Rough Sets
  • Risk analysis in probabilistic rough sets
  • Cost sensitive learning based on probabilistic rough sets
  • Reduct theory and probabilistic rough sets
  • Decision support systems (DSS) based on probabilistic rough sets
  • Rule induction based on three-way decisions and probabilistic rough sets
  • Data mining based on three-way decisions and probabilistic rough sets
  • Probabilistic rough sets in incomplete information systems
  • Decision-making based on three-way decisions and probabilistic rough sets
  • Approximation reasoning based on probabilistic rough sets
  • Applications of probabilistic rough set model
  • Applications of three-way decisions
  • Applications of three-way decisions with probabilistic rough set model
Full content can be downloaded here.
Post Date: 17-06-2013 | By: Admin
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