Design and Implementation of the Relational Datbase Engine. - Hiroshi Sakai; Kazuhide Iwata; Shigeo Kamiya; Masaaki Abe; Akio Tanaka; Shigeki Shibayama; Kunio Murakami (FGCS, 1984)

A Hardware Pipeline Algorithm for Relational Database Operation and Its Implementation Using Dedicated Hardware. - Shigeo Kamiya; Kazuhide Iwata; Hiroshi Sakai; Susumu Matsuda; Shigeki Shibayama; Kunio Murakami (ISCA, 1985)

A Simulation Study of a Knowledge Base Machine Architecture. - Hiroshi Sakai; Shigeki Shibayama; Hidetoshi Monoi; Yukihiro Morita; Hidenori Itoh (IWDM, 1987)

Unification-Based Query Language for Relational Knowledge Bases and Its Parallel Execution. - Hidetoshi Monoi; Yukihiro Morita; Hidenori Itoh; Toshiaki Takewaki; Hiroshi Sakai; Shigeki Shibayama (FGCS, 1988)

Overview of Knowledge Base Mechanism. - Shigeki Shibayama; Hiroshi Sakai; Toshiaki Takewaki; Hidetoshi Monoi; Yukihiro Morita; Hidenori Itoh (FGCS, 1988)

Parallel Control Technique and Performance of an MPPM Knowledge-Base Machine. - Hidetoshi Monoi; Yukihiro Morita; Hidenori Itoh; Hiroshi Sakai; Shigeki Shibayama (ICDE, 1988)

Inference Methods and Semantics on Or-type Knowledge Bases. - Hiroshi Sakai (LP, 1988)

An HDTV bit-rate reduction codec at the STM-1 rate of SDH. - Katsutoshi Sawada; Yoshiyuki Yashima; Hiroshi Sakai (Signal Process. Image Commun., 1992)

On a Framework for Logic Programming with Incomplete Information. - Hiroshi Sakai (Fundam. Informaticae, 1993)

SSM-MP: more scalability in shared-memory multi-processor. - Shigeaki Iwasa; Shung Ho Shing; Hisashi Mogi; Hiroshi Nozuwe; Hiroo Hayashi; Osamu Wakamori; Takashi Ohmizo; Kuninori Tanaka; Hiroshi Sakai; Mitsuo Saito (ICCD, 1995)

Applications of Logic Programs with Functor Set to Automated Problem Solving Under Uncertainty. - Hiroshi Sakai; Akimichi Okuma (IEA/AIE, 1996)

Face Recognition through Hough Transform for Irises Extraction and Projection Procedures for Parts Localization. - Yoshiaki Segawa; Hiroshi Sakai; Toshio Endoh; Kazuhito Murakami; Takashi Toriu; Hiroyasu Koshimizu (PRICAI, 1996)

Some Issues on Nondeterministic Knowledge Bases with Incomplete and Selective Information. - Hiroshi Sakai (Rough Sets and Current Trends in Computing, 1998)

An Algorithm for Finding Equivalence Relations from Tables with Non-Deterministic Information. - Hiroshi Sakai; Akimichi Okuma (RSFDGrC, 1999)

An Algorithm for Checking Dependencies of Attributes in a Table with Non-deterministic Information: A Rough Sets Based Approach. - Hiroshi Sakai; Akimichi Okuma (PRICAI, 2000)

On a Theorem Prover for Variational Logic Programs with Functors Setu and Sets. - Hiroshi Sakai; Akimichi Okuma (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000)

Two Procedures for Dependencies among Attributes in a Table with Non-deterministic Information: A Summary. - Hiroshi Sakai (JSAI Workshops, 2001)

Effective Procedures for Handling Possible Equivalence Relations in Non-deterministic Information Systems. - Hiroshi Sakai (Fundam. Informaticae, 2001)

A Framework of Rough Sets Based Rule Generation in Non-deterministic Information Systems. - Hiroshi Sakai (ISMIS, 2003)

Possible Equivalence Relations and Their Application to Hypothesis Generation in Non-deterministic Information Systems. - Hiroshi Sakai (Trans. Rough Sets, 2004)

Basic Algorithms and Tools for Rough Non-deterministic Information Analysis. - Hiroshi Sakai; Akimichi Okuma (Trans. Rough Sets, 2004)

Autonomous Towed Vehicle for Underwater Inspection in a Port Area. - Jin-Kyu Choi; Hiroshi Sakai; Toshinari Tanaka (ICRA, 2005)

On a Rough Sets Based Data Mining Tool in Prolog: An Overview. - Hiroshi Sakai (INAP, 2005)

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)

Generalized Prikry forcing and iteration of generic ultrapowers. - Hiroshi Sakai (Math. Log. Q., 2005)

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

Context-Aware Information Provision to the Mobile Phone Standby Screen. - Takeshi Nakatsuru; Koji Murakami; Hiroshi Sakai (MDM, 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)

Special Issue on Rough Sets and Granular Computing. - Hiroshi Sakai; Masahiro Inuiguchi (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)

Recognition of Road Contours Based on Extraction of 3D Positions of Delineators. - Shoichi Shimizu; Hironobu Fujiyoshi; Hiroshi Sakai; Takeo Kanade (ITSC, 2007)

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)

A practical and useful autonomous towed vehicle for port area inspection. - Jin-Kyu Choi; Tetsuya Shiraishi; Toshinari Tanaka; Hiroshi Sakai (Adv. Robotics, 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)

Semistationary and stationary reflection. - Hiroshi Sakai (J. Symb. Log., 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)

Automatic Extraction of Decision Rules from Non-deterministic Data Systems: Theoretical Foundations and SQL-Based Implementation. - Dominik Slezak; Hiroshi Sakai (FGIT-DTA, 2009)

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)

Protocol Enhancement for Near Field Communication (NFC): Future Direction and Cross-Layer Approach. - Hiroshi Sakai; Akira Arutaki (INCoS, 2011)

Pedestrian detection and tracking using in-vehicle lidar for automotive application. - Takashi Ogawa; Hiroshi Sakai; Yasuhiro Suzuki; Kiyokazu Takagi; Katsuhiro Morikawa (Intelligent Vehicles Symposium, 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)

Inter-Cloud Computing. - Tomonori Aoyama; Hiroshi Sakai (Bus. Inf. Syst. Eng., 2011)

On Array Calibration Technique for Multipath Reference Waves. - Hiroyoshi Yamada; Hiroshi Sakai; Yoshio Yamaguchi (IEICE Trans. Commun., 2011)

Special issue: Rough and Fuzzy Methods for Data Mining. - Aboul Ella Hassanien; Hiroshi Sakai; Dominik Slezak; Mihir K. Chakraborty; William Zhu 001 (Int. J. Hybrid Intell. Syst., 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)

On proofs of the incompleteness theorems based on Berry's paradox by Vopěnka, Chaitin, and Boolos. - Makoto Kikuchi; Taishi Kurahashi; Hiroshi Sakai (Math. Log. Q., 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)

Chang's Conjecture and weak square. - Hiroshi Sakai (Arch. Math. Log., 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)

Structured design concept for cross-layered protocols; applying to near field communication (NFC). - Akira Arutaki; Hiroshi Sakai; Akira Matsumoto (Int. J. Space Based Situated Comput., 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)

The Completeness of NIS-Apriori Algorithm and a Software Tool GetRNIA. - Hiroshi Sakai; Mao Wu (IIAI-AAI, 2014)

On the Definability of a Set and Rough Set-Based Rule Generation. - Hiroshi Sakai; Mao Wu; Naoto Yamaguchi (IIAI-AAI, 2014)

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

Toward the enhancement of the getRNIA system for rough-set based data analysis. - Mao Wu; Naoto Yamaguchi; Chenxi Liu; Hiroshi Sakai (SCIS&ISIS, 2014)

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

A survey and perspective connected with rough non-deterministic information analysis. - Hiroshi Sakai; Mao Wu; Naoto Yamaguchi (Int. J. Comput. Intell. Stud., 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)

A Consideration on Learning by Rule Generation from Tables with Missing Values. - Hiroshi Sakai; Chenxi Liu (IIAI-AAI, 2015)

On Parallelization of the NIS-apriori Algorithm for Data Mining. - Mao Wu; Hiroshi Sakai (KES, 2015)

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

Simple proofs of SCH from reflection principles without using better scales. - Hiroshi Sakai (Arch. Math. Log., 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)

Katětov and Katětov-Blass orders on Fσ-ideals. - Hiroaki Minami; Hiroshi Sakai (Arch. Math. Log., 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)

Stable Rules Evaluation for a Rough-Set-Based Bipolar Model: A Preliminary Study for Credit Loan Evaluation. - Kao-Yi Shen; Hiroshi Sakai; Gwo-Hshiung Tzeng (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 Katětov and Katětov-Blass orders on analytic P-ideals and Borel ideals. - Hiroshi Sakai (Arch. Math. Log., 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)

An Apriori-based Data Analysis on Suspicious Network Event Recognition. - Zhiwen Jian; Hiroshi Sakai; Junzo Watada; Arunava Roy; M. Hilmi B. Hassan (IEEE BigData, 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)

Multi-graded Hybrid MRDM Model for Assisting Financial Performance Evaluation Decisions: A Preliminary Work. - Kao-Yi Shen; Hiroshi Sakai; Gwo-Hshiung Tzeng (IJCRS, 2019)

On the existence of skinny stationary subsets. - Yo Matsubara; Hiroshi Sakai; Toshimichi Usuba (Ann. Pure Appl. Log., 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 II: SQL-based environment for rule generation and decision support. - Hiroshi Sakai; Zhiwen Jian (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)

Comparing Two Novel Hybrid MRDM Approaches to Consumer Credit Scoring Under Uncertainty and Fuzzy Judgments. - Kao-Yi Shen; Hiroshi Sakai; Gwo-Hshiung Tzeng (Int. J. Fuzzy Syst., 2019)

A variant of Shelah's characterization of Strong Chang's Conjecture. - Sean Cox 001; Hiroshi Sakai (Math. Log. Q., 2019)

Granulated Tables with Frequency by Discretization and Their Application. - Hiroshi Sakai; Zhiwen Jian (ICIS, 2020)

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)

The weakly compact reflection principle need not imply a high order of weak compactness. - Brent Cody; Hiroshi Sakai (Arch. Math. Log., 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)

Strong downward Löwenheim-Skolem theorems for stationary logics, I. - Sakaé Fuchino; André Ottenbreit Maschio Rodrigues; Hiroshi Sakai (Arch. Math. Log., 2021)

Strong downward Löwenheim-Skolem theorems for stationary logics, II: reflection down to the continuum. - Sakaé Fuchino; André Ottenbreit Maschio Rodrigues; Hiroshi Sakai (Arch. Math. Log., 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)

Uncertainty Quantification in Classifying Complex Geological Facies Using Bayesian Deep Learning. - Touhid Mohammad Hossain; Maman Hermana; Makky Sandra Jaya; Hiroshi Sakai; Said Jadid Abdulkadir (IEEE Access, 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)