Unacceptable components in fuzzy relational databases. - Michinori Nakata (Int. J. Intell. Syst., 1996)

Handling Imperfection in Databases: A Modal Logic Approach. - Michinori Nakata; Germano Resconi; Tetsuya Murai (DEXA, 1997)

Generation of accessible worlds under available information. - Tetsuya Murai; Michinori Nakata; Masaru Shimbo (KES (2), 1998)

On the treatment of imperfect information in intelligent databases. - Michinori Nakata; Germano Resconi; Tetsuya Murai (KES (3), 1998)

A Semantic-Ambiguity-Free Relational Model for Handling Imperfect Information1. - Michinori Nakata (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Generation of non-transitive chains from rational-valued and real-valued fuzzy subsets under rough set theory. - Tetsuya Murai; Michinori Nakata; Yoshiharu Sato (KES, 2000)

Semantic field as a bridge between data and decision. - Germano Resconi; Tetsuya Murai; Michinori Nakata (KES, 2000)

Semantic field: introduction. - Germano Resconi; Tetsuya Murai; Michinori Nakata; Masaru Shimbo (KES, 2000)

Handling Data with Plural Sources in Databases. - Michinori Nakata; Tetsuya Murai; Germano Resconi (Rough Sets and Current Trends in Computing, 2000)

Data Dependencies Over rough Relational Expressions. - Michinori Nakata; Tetsuya Murai (FUZZ-IEEE, 2001)

A Note on Filtration and Granular Reasoning. - Tetsuya Murai; Michinori Nakata; Yoshiharu Sato (JSAI Workshops, 2001)

A Note on Conditional Logic and Association Rules. - Tetsuya Murai; Michinori Nakata; Yoshiharu Sato (JSAI Workshops, 2001)

Association Rules and Non-Classical Logics. - Tetsuya Murai; Michinori Nakata; Yoshiharu Sato (COMPSAC, 2002)

Functional Dependencies in Relational Expressions Based on Or-Sets. - Michinori Nakata; Tetsuya Murai (Rough Sets and Current Trends in Computing, 2002)

Granular Reasoning Using Zooming In & Out. - Tetsuya Murai; Germano Resconi; Michinori Nakata; Yoshiharu Sato (RSFDGrC, 2003)

Granular Reasoning Using Zooming In & Out: Aristotle's Categorical Syllogism. - Tetsuya Murai; Yoshiharu Sato; Germano Resconi; Michinori Nakata (RSKD, 2003)

Considering Semantic Ambiguity and Indistinguishability for Values of Membership Attribute in Possibility-Based Fuzzy Relational Models. - Michinori Nakata (Rough Sets and Current Trends in Computing, 2004)

Rough-set-based approaches to data containing incomplete information: possibility-based cases. - Michinori Nakata; Hiroshi Sakai (LAPTEC, 2005)

Rough Sets Based Minimal Certain Rule Generation in Non-deterministic Information Systems: An Overview. - Hiroshi Sakai; Michinori Nakata (LAPTEC, 2005)

Checking Whether or Not Rough-Set-Based Methods to Incomplete Data Satisfy a Correctness Criterion. - Michinori Nakata; Hiroshi Sakai (MDAI, 2005)

On a Tool for Rough Non-deterministic Information Analysis and Its Perspective for Handling Numerical Data. - Hiroshi Sakai; Tetsuya Murai; Michinori Nakata (MDAI, 2005)

Rough Sets Handling Missing Values Probabilistically Interpreted. - Michinori Nakata; Hiroshi Sakai (RSFDGrC (1), 2005)

Discernibility Functions and Minimal Rules in Non-deterministic Information Systems. - Hiroshi Sakai; Michinori Nakata (RSFDGrC (1), 2005)

Rough Sets Approximations to Possibilistic Information. - Michinori Nakata; Hiroshi Sakai (FUZZ-IEEE, 2006)

Applying Rough Sets to Data Tables Containing Imprecise Information Under Probabilistic Interpretation. - Michinori Nakata; Hiroshi Sakai (RSCTC, 2006)

On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems. - Hiroshi Sakai; Michinori Nakata (RSCTC, 2006)

Applying Rough Sets to Data Tables Containing Possibilistic Information. - Michinori Nakata; Hiroshi Sakai (RSKT, 2006)

Generalizing Possibility-Based Fuzzy Relational Models. - Michinori Nakata (J. Adv. Comput. Intell. Intell. Informatics, 2006)

An Application of Discernibility Functions to Generating Minimal Rules in Non-Deterministic Information Systems. - Hiroshi Sakai; Michinori Nakata (J. Adv. Comput. Intell. Intell. Informatics, 2006)

Applying Rough Sets to Information Tables Containing Probabilistic Values. - Michinori Nakata; Hiroshi Sakai (MDAI, 2007)

On a Rough Sets Based Tool for Generating Rules from Data with Categorical and Numerical Values. - Hiroshi Sakai; Kazuhiro Koba; Ryuji Ishibashi; Michinori Nakata (MDAI, 2007)

Applying Rough Sets to Data Tables Containing Missing Values. - Michinori Nakata; Hiroshi Sakai (RSEISP, 2007)

On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems: Part 2. - Hiroshi Sakai; Ryuji Ishibashi; Kazuhiro Koba; Michinori Nakata (RSFDGrC, 2007)

Lower and Upper Approximations in Data Tables Containing Possibilistic Information. - Michinori Nakata; Hiroshi Sakai (Trans. Rough Sets, 2007)

Rough sets approximations in data tables containing missing values. - Michinori Nakata; Hiroshi Sakai (FUZZ-IEEE, 2008)

Lower and Upper Approximations of Rules in Non-deterministic Information Systems. - Hiroshi Sakai; Ryuji Ishibashi; Michinori Nakata (RSCTC, 2008)

Rough Sets Based Rule Generation from Data with Categorical and Numerical Values. - Hiroshi Sakai; Kazuhiro Koba; Michinori Nakata (J. Adv. Comput. Intell. Intell. Informatics, 2008)

Applying Rough Sets to Information Tables Containing Possibilistic Values. - Michinori Nakata; Hiroshi Sakai (Trans. Comput. Sci., 2008)

Rules and Apriori Algorithm in Non-deterministic Information Systems. - Hiroshi Sakai; Ryuji Ishibashi; Kazuhiro Koba; Michinori Nakata (Trans. Rough Sets, 2008)

Applying Rough Sets to Information Tables Containing Missing Values. - Michinori Nakata; Hiroshi Sakai (ISMVL, 2009)

An Overview of a Software Tool in Rough Non-deterministic Information Analysis. - Hiroshi Sakai; Hiroshi Kimura; Michinori Nakata (ISMVL, 2009)

The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems. - Hiroshi Sakai; Kohei Hayashi; Michinori Nakata; Dominik Slezak (RSFDGrC, 2009)

Rough Sets under Non-deterministic Information. - Michinori Nakata; Hiroshi Sakai (RSKT, 2009)

The Lower and the Upper Systems of Rules in Tables with Missing Values. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak (FGIT-DTA/BSBT, 2010)

Two Rough Approximations for Information Tables Containing Missing Values. - Michinori Nakata; Hiroshi Sakai (GrC, 2010)

Toward Rough Sets Based Rule Generation from Tables with Uncertain Numerical Values. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak (IUM, 2010)

An overview of decision making in Rough Non-deterministic Information Analysis. - Hitomi Okuma; Michinori Nakata; Dominik Slezak; Hiroshi Sakai (NaBIC, 2010)

Rule Generation in Lipski's Incomplete Information Databases. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak (RSCTC, 2010)

Properties on inclusion relations and division charts in non-deterministic information systems. - Hitomi Okuma; Michinori Nakata; Dominik Slezak; Hiroshi Sakai (GrC, 2011)

Toward association rules based decision making in Lipski's Incomplete Information Databases. - Hiroshi Sakai; Michinori Nakata (GrC, 2011)

Dual Rough Approximations in Information Tables with Missing Values. - Michinori Nakata; Hiroshi Sakai (RSFDGrC, 2011)

A Prototype System for Rule Generation in Lipski's Incomplete Information Databases. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak (RSFDGrC, 2011)

A NIS-Apriori Based Rule Generator in Prolog and Its Functionality for Table Data. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak (RSKT, 2011)

Stable rule extraction and decision making in rough non-deterministic information analysis. - Hiroshi Sakai; Hitomi Okuma; Michinori Nakata; Dominik Slezak (Int. J. Hybrid Intell. Syst., 2011)

Rough Sets-Based Machine Learning over Non-deterministic Data: A Brief Survey. - Hiroshi Sakai; Mao Wu; Michinori Nakata; Dominik Slezak (AMLTA, 2012)

Learning a Table from a Table with Non-deterministic Information: A Perspective. - Mao Wu; Naoto Yamaguchi; Michinori Nakata; Hiroshi Sakai (AMLTA, 2012)

Division charts and their merging algorithm in Rough Non-deterministic information analysis. - Hiroshi Sakai; Mao Wu; Naoto Yamaguchi; Michinori Nakata (GrC, 2012)

Management of Information Incompleteness in Rough Non-deterministic Information Analysis. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak (IPMU (1), 2012)

Association rule-based decision making in table data. - Hiroshi Sakai; Mao Wu; Michinori Nakata (Int. J. Reason. based Intell. Syst., 2012)

Rule induction based on rough sets from information tables containing possibilistic information. - Michinori Nakata; Hiroshi Sakai (IFSA/NAFIPS, 2013)

An Overview of the getRNIA System for Non-deterministic Data. - Mao Wu; Michinori Nakata; Hiroshi Sakai (KES, 2013)

Rough Set-Based Information Dilution by Non-deterministic Information. - Hiroshi Sakai; Mao Wu; Naoto Yamaguchi; Michinori Nakata (RSFDGrC, 2013)

Non-deterministic Information in Rough Sets: A Survey and Perspective. - Hiroshi Sakai; Mao Wu; Naoto Yamaguchi; Michinori Nakata (RSKT, 2013)

Twofold rough approximations under incomplete information. - Michinori Nakata; Hiroshi Sakai (Int. J. Gen. Syst., 2013)

Division Charts as Granules and Their Merging Algorithm for Rule Generation in Nondeterministic Data. - Hiroshi Sakai; Mao Wu; Michinori Nakata (Int. J. Intell. Syst., 2013)

Rule induction based on rough sets from possibilistic information under Lipski's approach. - Michinori Nakata; Hiroshi Sakai (GrC, 2014)

Reconsideration of rules in tables with non-deterministic data. - Hiroshi Sakai; Mao Wu; Naoto Yamaguchi; Chenxi Liu; Michinori Nakata (GrC, 2014)

An Approach Based on Rough Sets to Possibilistic Information. - Michinori Nakata; Hiroshi Sakai (IPMU (3), 2014)

Apriori-Based Rule Generation in Incomplete Information Databases and Non-Deterministic Information Systems. - Hiroshi Sakai; Mao Wu; Michinori Nakata (Fundam. Informaticae, 2014)

Two Rough Set-based Software Tools for Analyzing Non-Deterministic Data. - Mao Wu; Michinori Nakata; Hiroshi Sakai (Int. J. Rough Sets Data Anal., 2014)

Application of Rough Set-Based Information Analysis to Questionnaire Data. - Naoto Yamaguchi; Mao Wu; Michinori Nakata; Hiroshi Sakai (J. Adv. Comput. Intell. Intell. Informatics, 2014)

Families of the Granules for Association Rules and Their Properties. - Hiroshi Sakai; Chenxi Liu; Michinori Nakata (RSKT, 2015)

Granules for association rules and decision support in the getRNIA system. - Hiroshi Sakai; Mao Wu; Naoto Yamaguchi; Michinori Nakata (Intell. Decis. Technol., 2015)

A proposal of a privacy-preserving questionnaire by non-deterministic information and its analysis. - Shusaku Tsumoto; Michinori Nakata; Hiroshi Sakai; Chenxi Liu (IEEE BigData, 2016)

Information Dilution: Granule-Based Information Hiding in Table Data - A Case of Lenses Data Set in UCI Machine Learning Repository. - Hiroshi Sakai; Chenxi Liu; Michinori Nakata (CMCSN, 2016)

Describing Rough Approximations by Indiscernibility Relations in Information Tables with Incomplete Information. - Michinori Nakata; Hiroshi Sakai (IPMU (2), 2016)

Rough Sets by Indiscernibility Relations in Data Sets Containing Possibilistic Information. - Michinori Nakata; Hiroshi Sakai (IJCRS, 2016)

On NIS-Apriori Based Data Mining in SQL. - Hiroshi Sakai; Chenxi Liu; Xiaoxin Zhu; Michinori Nakata (IJCRS, 2016)

On Apriori-Based Rule Generation in SQL - A Case of the Deterministic Information System. - Chenxi Liu; Hiroshi Sakai; Xiaoxin Zhu; Michinori Nakata (SCIS&ISIS, 2016)

Rough Approximations from Indiscernibility Relations under Incomplete Information. - Michinori Nakata; Hiroshi Sakai (SCIS&ISIS, 2016)

Rough Sets in Incomplete Information Systems with Order Relations Under Lipski's Approach. - Michinori Nakata; Hiroshi Sakai; Keitarou Hara (IJCRS (1), 2017)

A Proposal of Machine Learning by Rule Generation from Tables with Non-deterministic Information and Its Prototype System. - Hiroshi Sakai; Michinori Nakata; Junzo Watada (IJCRS (1), 2017)

A Model of Rule Generation Handling Granules Defined by Implications in Table Data Sets. - Hiroshi Sakai; Michinori Nakata; Junzo Watada (ICDM Workshops, 2018)

Rules Induced from Rough Sets in Information Tables with Continuous Values. - Michinori Nakata; Hiroshi Sakai; Keitarou Hara (IPMU (2), 2018)

Rule Induction Based on Indiscernible Classes from Rough Sets in Information Tables with Continuous Values. - Michinori Nakata; Hiroshi Sakai; Keitarou Hara (IJCSR, 2018)

On Two Apriori-Based Rule Generators: Apriori in Prolog and Apriori in SQL. - Hiroshi Sakai; Kao-Yi Shen; Michinori Nakata (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Rough Sets Based on Possibly Indiscernible Classes in Incomplete Information Tables with Continuous Values. - Michinori Nakata; Hiroshi Sakai; Keitarou Hara (AISI, 2019)

Rule Induction Based on Rough Sets from Possibilistic Data Tables. - Michinori Nakata; Hiroshi Sakai (IUKM, 2019)

NIS-Apriori Algorithm with a Target Descriptor for Handling Rules Supported by Minor Instances. - Hiroshi Sakai; Kao-Yi Shen; Michinori Nakata (IUKM, 2019)

Rough Sets Based on Possible Indiscernibility Relations in Incomplete Information Tables with Continuous Values. - Michinori Nakata; Hiroshi Sakai; Keitarou Hara (IJCRS, 2019)

Rule induction based on rough sets from information tables having continuous domains. - Michinori Nakata; Hiroshi Sakai; Keitarou Hara (CAAI Trans. Intell. Technol., 2019)

Rough set-based rule generation and Apriori-based rule generation from table data sets: a survey and a combination. - Hiroshi Sakai; Michinori Nakata (CAAI Trans. Intell. Technol., 2019)

Guest Editorial: Rough Sets and Data Mining. - Hiroshi Sakai; Michinori Nakata; Wei-Zhi Wu 001; Duoqian Miao 001; Guoyin Wang 001 (CAAI Trans. Intell. Technol., 2019)

An Adjusted Apriori Algorithm to Itemsets Defined by Tables and an Improved Rule Generator with Three-Way Decisions. - Zhiwen Jian; Hiroshi Sakai; Takuya Ohwa; Kao-Yi Shen; Michinori Nakata (IJCRS, 2020)

NIS-Apriori-based rule generation with three-way decisions and its application system in SQL. - Hiroshi Sakai; Michinori Nakata; Junzo Watada (Inf. Sci., 2020)

Possible Coverings in Incomplete Information Tables with Similarity of Values. - Michinori Nakata; Norio Saito; Hiroshi Sakai; Takeshi Fujiwara (IJCRS, 2021)

The Lattice Structure of Coverings in an Incomplete Information Table with Value Similarity. - Michinori Nakata; Norio Saito; Hiroshi Sakai; Takeshi Fujiwara (IUKM, 2022)

Structures Derived from Possible Tables in an Incomplete Information Table. - Michinori Nakata; Norio Saito; Hiroshi Sakai; Takeshi Fujiwara (SCIS/ISIS, 2022)

Apriori-based Rule Generation with Three-way Decisions for Heterogeneous and Uncertain Data. - Hiroshi Sakai; Michinori Nakata (SCIS/ISIS, 2022)

Rough Sets and Rule Induction by an Approach Based on Coverings in Information Tables. - Michinori Nakata; Norio Saito; Hiroshi Sakai; Takeshi Fujiwara (J. Multiple Valued Log. Soft Comput., 2022)

Extending Kryszkiewicz's Formula of Missing Values in Terms of Lipski's Approach. - Michinori Nakata; Norio Saito; Hiroshi Sakai; Takeshi Fujiwara (IUKM (2), 2023)

Descriptor-Based Information Systems and Rule Learning from Different Types of Data Sets with Uncertainty. - Hiroshi Sakai; Michinori Nakata (IUKM (2), 2023)

Kryszkiewicz's Relation for Indiscernibility of Objects in Data Tables Containing Missing Values. - Michinori Nakata; Norio Saito; Hiroshi Sakai; Takeshi Fujiwara (IJCRS, 2023)

Dealing with Missing Values Meaning Unknown in Probabilistic Approximations. - Michinori Nakata; Hiroshi Sakai; Takeshi Fujiwara (IJCRS (1), 2024)

A Proposal of the Sub-attributes Based β-Dependency in Rough Sets and Its Calculation. - Hiroshi Sakai; Michinori Nakata (IJCRS (1), 2024)

Consideration of Detecting Data and Functional Dependency in Tabular Data with Missing Values by the Obtained Rules. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak; Junzo Watada (IJCRS (1), 2024)

Rough Sets Consisting of Valued Objects in Data Tables with Missing Values. - Michinori Nakata; Hiroshi Sakai; Takeshi Fujiwara (IUKM (2), 2025)

Rule generation in Rough set Non-deterministic Information Analysis (RNIA) and some applications of the obtained rules. - Hiroshi Sakai; Michinori Nakata; Dominik Slezak; Junzo Watada (Appl. Soft Comput., 2025)