Structures Derived from Possible Tables in an Incomplete Information Table-Reference-Cited by-同舟云学术

Structures Derived from Possible Tables in an Incomplete Information Table

Published:2022-11-29 Issue: Volume: Page:
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Container-title:2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)
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Author:

Nakata Michinori¹,Saito Norio¹,Sakai Hiroshi²,Fujiwara Takeshi³

Affiliation:

1. Josai International University,Faculty of Management and Information Science,Togane,Japan

2. Faculty of Engineering Kyushu Institute of Technology,Kitakyusyu,Japan

3. Tokyo University of Information Sciences,Faculty of Informatics,Chiba,Japan

Funder

Japan Society for the Promotion of Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10001867/10001868/10001919.pdf?arnumber=10001919

Reference17 articles.

1. APPROXIMATIONS IN THE SPACE (U,π)

2. Dynamic maintenance of approximations under a rough-set based variable precision limited tolerance relation;chen;Journal of Multiple-Valued Logic and Soft Computing,2012

3. Multigranulation rough sets: From partition to covering

4. Rough Sets, Coverings and Incomplete Information

5. TOLERANCE APPROXIMATION SPACES

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1. Dealing with Missing Values Meaning Unknown in Probabilistic Approximations;Lecture Notes in Computer Science;2024

2. Kryszkiewicz’s Relation for Indiscernibility of Objects in Data Tables Containing Missing Values;Rough Sets;2023

3. Extending Kryszkiewicz’s Formula of Missing Values in Terms of Lipski’s Approach;Lecture Notes in Computer Science;2023