Sadaaki Miyamoto

Sadaaki Miyamoto: Different generalizations of bags. Annals OR 195(1): 221-236 (2012)

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: On Kernel Fuzzy c-Means for Data with Tolerance Using Explicit Mapping for Kernel Data Analysis. JACIII 16(1): 162-168 (2012)

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto: On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints. JACIII 16(1): 174-179 (2012)

Satoshi Takumi, Sadaaki Miyamoto: Agglomerative Hierarchical Clustering Without Reversals on Dendrograms Using Asymmetric Similarity Measures. JACIII 16(7): 807-813 (2012)

Hengjin Tang, Sadaaki Miyamoto: Sequential Regression Models with Pairwise Constraints Using Noise Clusters. JACIII 16(7): 814-818 (2012)

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: Hard and Fuzzy c-Means Clustering with Conditionally Positive Definite Kernel. JACIII 16(7): 825-830 (2012)

Sadaaki Miyamoto, Shohei Suzuki, Satoshi Takumi: Clustering in tweets using a fuzzy neighborhood model. FUZZ-IEEE 2012: 1-6

Sadaaki Miyamoto: An Overview of Hierarchical and Non-hierarchical Algorithms of Clustering for Semi-supervised Classification. MDAI 2012: 1-10

Sadaaki Miyamoto, Satoshi Takumi: Inductive Clustering and Twofold Approximations in Nearest Neighbor Clustering. MDAI 2012: 355-366

Vicenç Torra, Yasunori Endo, Sadaaki Miyamoto: Computationally intensive parameter selection for clustering algorithms: The case of fuzzy c-means with tolerance. Int. J. Intell. Syst. 26(4): 313-322 (2011)

Hengjin Tang, Sadaaki Miyamoto: Sequential Extraction of Fuzzy Regression Models: Least Squares and Least absolute Deviations. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 19(Supplement-1): 53-63 (2011)

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto: Fuzzy c-Means Clustering for Data with Clusterwise Tolerance Based on L2- and L1-Regularization. JACIII 15(1): 68-75 (2011)

Jeongsik Hwang, Sadaaki Miyamoto: Kernel Functions Derived from Fuzzy Clustering and Their Application to Kernel Fuzzy c-Means. JACIII 15(1): 90-94 (2011)

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data. JACIII 15(1): 95-101 (2011)

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c-Means. JACIII 15(8): 1057-1064 (2011)

Vicenç Torra, Sadaaki Miyamoto: A definition for I-fuzzy partitions. Soft Comput. 15(2): 363-369 (2011)

Vicenç Torra, Sadaaki Miyamoto: Erratum to: A definition for I-fuzzy partitions. Soft Comput. 15(2): 371 (2011)

Sadaaki Miyamoto, Keisuke Sawazaki: A method of explicit mappings for kernel data analysis and applications. FUZZ-IEEE 2011: 381-385

Sadaaki Miyamoto, Akihisa Terami: Constrained agglomerative hierarchical clustering algorithms with penalties. FUZZ-IEEE 2011: 422-427

Yasunori Endo, Isao Takayama, Yukihiro Hamasuna, Sadaaki Miyamoto: Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings. FUZZ-IEEE 2011: 804-809

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto: On Mahalanobis distance based fuzzy c-means clustering for uncertain data using penalty vector regularization. FUZZ-IEEE 2011: 810-815

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: On hard and fuzzy c-means clustering with conditionally positive definite kernel. FUZZ-IEEE 2011: 816-820

Aoi Takahashi, Yasunori Endo, Sadaaki Miyamoto: Fuzzy c-means clustering for data with tolerance using cosine correlation. GrC 2011: 619-624

Satoshi Takumi, Sadaaki Miyamoto: Text clustering using a multiset model. GrC 2011: 630-635

Sadaaki Miyamoto: Two Classes of Algorithms for Data Clustering. IUKM 2011: 19-30

Satoshi Takumi, Sadaaki Miyamoto: Agglomerative Hierarchical Clustering Using Asymmetric Similarity Based on a Bag Model and Application to Information on the Web. IUKM 2011: 187-196

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto: Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance. MDAI 2011: 103-113

Satoshi Takumi, Sadaaki Miyamoto: Agglomerative Clustering Using Asymmetric Similarities. MDAI 2011: 114-125

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto: On tolerant fuzzy c-means clustering and tolerant possibilistic clustering. Soft Comput. 14(5): 487-494 (2010)

Vicenç Torra, Isaac Cano, Sadaaki Miyamoto, Yasunori Endo: Container loading for nonorthogonal objects: an approximation using local search and simulated annealing. Soft Comput. 14(5): 537-544 (2010)

Yasunori Endo, Kouta Kurihara, Sadaaki Miyamoto, Yukihiro Hamasuna: Hard and fuzzy c-regression models for data with tolerance in independent and dependent variables. FUZZ-IEEE 2010: 1-8

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto: Cluster validity measures for data with tolerance. FUZZ-IEEE 2010: 1-6

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: On kernel fuzzy c-means for data with tolerance using explicit mapping for kernel data analysis. FUZZ-IEEE 2010: 1-6

Sadaaki Miyamoto, Akihisa Terami: Semi-supervised agglomerative hierarchical clustering algorithms with pairwise constraints. FUZZ-IEEE 2010: 1-6

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto: Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise Constraints. GrC 2010: 188-193

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: Indefinite Kernel Fuzzy c-Means Clustering Algorithms. MDAI 2010: 116-128

Hengjin Tang, Sadaaki Miyamoto: Algorithms in Sequential Fuzzy Regression Models Based on Least Absolute Deviations. MDAI 2010: 129-139

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto: Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints. MDAI 2010: 152-162

Wataru Hashimoto, Tetsuya Nakamura, Sadaaki Miyamoto: Comparison and Evaluation of Different Cluster Validity Measures Including Their Kernelization. JACIII 13(3): 204-209 (2009)

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto: On Tolerant Fuzzy c -Means Clustering. JACIII 13(4): 421-428 (2009)

Sadaaki Miyamoto: Operations for Real-Valued Bags and Bag Relations. IFSA/EUSFLAT Conf. 2009: 612-617

Sadaaki Miyamoto, Yuichi Kawasaki, Keisuke Sawazaki: An Explicit Mapping for Kernel Data Analysis and Application to Text Analysis. IFSA/EUSFLAT Conf. 2009: 618-623

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: Fuzzy c-Lines for Data with Tolerance. IFSA/EUSFLAT Conf. 2009: 861-866

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto: On Tolerant Fuzzy c-Means Clustering with L1-Regularization. IFSA/EUSFLAT Conf. 2009: 1152-1157

Sadaaki Miyamoto, Kenta Arai: Different sequential clustering algorithms and sequential regression models. FUZZ-IEEE 2009: 1107-1112

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: Entropy regularized fuzzy C-lines for data with tolerance. FUZZ-IEEE 2009: 1113-1118

Yasunori Endo, Yukihiro Hamasuna, Makito Yamashiro, Sadaaki Miyamoto: On semi-supervised fuzzy c-means clustering. FUZZ-IEEE 2009: 1119-1124

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto: On L1-Norm based tolerant fuzzy c-Means clustering. FUZZ-IEEE 2009: 1125-1130

Sadaaki Miyamoto: Generalized bags and their relations: An alternative model for fuzzy set theory and applications. GrC 2009: 3

Yasunori Endo, Yukihiro Hamasuna, Yuchi Kanzawa, Sadaaki Miyamoto: On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors. GrC 2009: 148-153

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto: Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularization. GrC 2009: 197-202

Yasuo Kudo, Tetsuya Murai, Sadaaki Miyamoto: On an extraction method of structural characteristics in object-oriented rough set models. GrC 2009: 312-317

Sadaaki Miyamoto, Mitsuaki Yamazaki, Wataru Hashimoto: Fuzzy semi-supervised clustering with target clusters using different additional terms. GrC 2009: 444-449

Sadaaki Miyamoto: Generalized Bags, Bag Relations, and Applications to Data Analysis and Decision Making. MDAI 2009: 37-54

Sadaaki Miyamoto: Refinement Properties in Agglomerative Hierarchical Clustering. MDAI 2009: 259-267

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: Some Pairwise Constrained Semi-Supervised Fuzzy c-Means Clustering Algorithms. MDAI 2009: 268-281

Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda: Algorithms for Fuzzy Clustering - Methods in c-Means Clustering with Applications. Studies in Fuzziness and Soft Computing 229, Springer 2008, isbn 978-3-540-78736-5, pp. 1-233

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: Fuzzy c-Means Algorithms for Data with Tolerance Using Kernel Functions. IEICE Transactions 91-A(9): 2520-2534 (2008)

Kiyotaka Mizutani, Ryo Inokuchi, Sadaaki Miyamoto: Algorithms of nonlinear document clustering based on fuzzy multiset model. Int. J. Intell. Syst. 23(2): 176-198 (2008)

Vicenç Torra, Sadaaki Miyamoto: Container Loading for Nonorthogonal Objects: Detecting Collisions. JACIII 12(5): 422-425 (2008)

Ryo Inokuchi, Sadaaki Miyamoto: Fuzzy c-Means Algorithms Using Kullback-Leibler Divergence and Helliger Distance Based on Multinomial Manifold. JACIII 12(5): 443-447 (2008)

Sadaaki Miyamoto, Youhei Kuroda, Kenta Arai: Algorithms for Sequential Extraction of Clusters by Possibilistic Method and Comparison with Mountain Clustering. JACIII 12(5): 448-453 (2008)

Sadaaki Miyamoto: Formulation of Fuzzy c-Means Clustering Using Calculus of Variations and Twofold Membership Clusters. JACIII 12(5): 454-460 (2008)

Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, Sadaaki Miyamoto: Fuzzy c-Means for Data with Rectangular Maximum Tolerance Range. JACIII 12(5): 461-466 (2008)

Sadaaki Miyamoto: Generalized Bags and Bag Relations: Toward an Alternative Model for Fuzzy Set Applications. CIMCA/IAWTIC/ISE 2008: 380-385

Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto: Support Vector Machine for data with tolerance based on Hard-margin and Soft-Margin. FUZZ-IEEE 2008: 750-755

Vicenç Torra, Sadaaki Miyamoto, Yasunori Endo, Josep Domingo-Ferrer: On intuitionistic fuzzy clustering for its application to privacy. FUZZ-IEEE 2008: 1042-1048

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: Fuzzy classification function of fuzzy c-means algorithms for data with tolerance. FUZZ-IEEE 2008: 1081-1088

Sadaaki Miyamoto: Recent Studies on Algorithms for Fuzzy Clustering. GrC 2008: 59-60

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: Fuzzy Classification Function of Entropy Regularized Fuzzy C-means Algorithm for Data with Tolerance using Kernel Function. GrC 2008: 350-355

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function. MDAI 2008: 122-133

Sadaaki Miyamoto: Generalized Agglomerative Clustering with Application to Information Systems. MDAI 2008: 158-166

Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto: Fuzzy c-Means Algorithms for Data with Tolerance Based on Opposite Criterions. IEICE Transactions 90-A(10): 2194-2202 (2007)

Vicenç Torra, Yasuo Narukawa, Sadaaki Miyamoto: Editorial. JACIII 11(1): 3-3 (2007)

Sadaaki Miyamoto, Yasunori Endo, Koki Hanzawa, Yukihiro Hamasuna: Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge Utilization. JACIII 11(1): 51-60 (2007)

Yukihiro Hamasuna, Yasunori Endo, Yasushi Hasegawa, Sadaaki Miyamoto: Two Clustering Algorithms for Data with Tolerance based on Hard c-Means. FUZZ-IEEE 2007: 1-4

Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto: Agglomerative Hierarchical Clustering for Data with Tolerance. GrC 2007: 404-409

Ryo Inokuchi, Sadaaki Miyamoto: Sparse Possibilistic Clustering with L1 Regularization. GrC 2007: 442-

Sadaaki Miyamoto, Satoshi Hayakawa, Yuichi Kawasaki: Term Clustering in Texts Based on Fuzzy Neighborhoods and Kernel Functions. KES (2) 2007: 517-524

Sadaaki Miyamoto: Formulation of Fuzzy c -Means Clustering Using Calculus of Variations. MDAI 2007: 193-203

Sadaaki Miyamoto, Youhei Kuroda: Algorithms for Sequential Extraction of Clusters by Possibilistic Clustering. MDAI 2007: 226-236

Yasushi Hasegawa, Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto: Fuzzy c -Means for Data with Tolerance Defined as Hyper-Rectangle. MDAI 2007: 237-248

Sadaaki Miyamoto, Yuichi Kawasaki: Kernel Functions Based on Fuzzy Neighborhoods and Agglomerative Clustering. MDAI 2007: 249-260

Ryo Inokuchi, Sadaaki Miyamoto: c -Means Clustering on the Multinomial Manifold. MDAI 2007: 261-268

Sadaaki Miyamoto: Data Clustering Algorithms for Information Systems. RSFDGrC 2007: 13-24

Tetsuya Murai, Sadaaki Miyamoto, Yasuo Kudo: A Logical Representation of Images by Means of Multi-rough Sets for Kansei Image Retrieval. RSKT 2007: 244-251

Vicenç Torra, Yasuo Narukawa, Sadaaki Miyamoto: Editorial. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14(4): 369-370 (2006)

Ryo Inokuchi, Sadaaki Miyamoto: Kernel Methods for Clustering: Competitive Learning and C-Means. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14(4): 481-493 (2006)

Sadaaki Miyamoto, Tetsuya Murai, Yasuo Kudo: A Family of Polymodal Systems and its Application to Generalized Possibility Measures and Multi-Rough Sets. JACIII 10(5): 625-632 (2006)

Ryuichi Murata, Yasunori Endo, Hideyuki Haruyama, Sadaaki Miyamoto: On Fuzzy c-Means for Data with Tolerance. JACIII 10(5): 673-681 (2006)

Vicenç Torra, Sergi Lanau, Sadaaki Miyamoto: Image clustering for the exploration of video sequences. JASIST 57(4): 577-584 (2006)

Sadaaki Miyamoto: Classification and Clustering: A Perspective toward Risk Mining. ICDM Workshops 2006: 726-730

Ryo Inokuchi, Sadaaki Miyamoto: Nonparametric Fisher Kernel Using Fuzzy Clustering. KES (2) 2006: 78-85

Ryuichi Murata, Yasunori Endo, Hideyuki Haruyama, Sadaaki Miyamoto: On Fuzzy c-Means for Data with Tolerance. MDAI 2006: 351-361

Vicenç Torra, Sadaaki Miyamoto: On the Use of Variable-Size Fuzzy Clustering for Classification. MDAI 2006: 362-371

Sadaaki Miyamoto, Satoshi Hayakawa: A Fuzzy Neighborhood Model for Clustering, Classification, and Approximations. RSCTC 2006: 882-890

Sadaaki Miyamoto: Lattice-Valued Hierarchical Clustering for Analyzing Information Systems. RSCTC 2006: 909-917

Salvatore Greco, Yutaka Hata, Shoji Hirano, Masahiro Inuiguchi, Sadaaki Miyamoto, Hung Son Nguyen, Roman Slowinski (Eds.): Rough Sets and Current Trends in Computing, 5th International Conference, RSCTC 2006, Kobe, Japan, November 6-8, 2006, Proceedings. Lecture Notes in Computer Science 4259, Springer 2006, isbn 3-540-47693-8

Sadaaki Miyamoto: Remarks on basics of fuzzy sets and fuzzy multisets. Fuzzy Sets and Systems 156(3): 427-431 (2005)

Vicenç Torra, Sadaaki Miyamoto, Sergi Lanau: Exploration of textual document archives using a fuzzy hierarchical clustering algorithm in the GAMBAL system. Inf. Process. Manage. 41(3): 587-598 (2005)

Vicenç Torra, Sadaaki Miyamoto: On the consistency of a Fuzzy C-Means algorithm for multisets. CCIA 2005: 289-295

Sadaaki Miyamoto, Takeshi Yasukochi, Ryo Inokuchi: A Family of Fuzzy and Defuzzified c-Means Algorithms. CIMCA/IAWTIC 2005: 170-176

Shigeyuki Takahara, Sadaaki Miyamoto: An Evolutionary Approach for the Multiple Container Loading Problem. HIS 2005: 227-232

Vicenç Torra, Yasuo Narukawa, Sadaaki Miyamoto: Modeling Decisions for Artificial Intelligence: Theory, Tools and Applications. MDAI 2005: 1-8

Kiyotaka Mizutani, Sadaaki Miyamoto: Possibilistic Approach to Kernel-Based Fuzzy c-Means Clustering with Entropy Regularization. MDAI 2005: 144-155

Arnold C. Alanzado, Sadaaki Miyamoto: Fuzzy c-Means Clustering in the Presence of Noise Cluster for Time Series Analysis. MDAI 2005: 156-163

Sadaaki Miyamoto, Yasunori Endo, Satoshi Hayakawa, Erina Kataoka: Classification and clustering of information objects based on fuzzy neighborhood system. SMC 2005: 3210-3215

Sadaaki Miyamoto, Takeshi Yasukochi, Ryo Inokuchi: Defuzzified clustering algorithms derived from the method of entropy-based fuzzy c-means. SMC 2005: 3221-3225

Vicenç Torra, Yasuo Narukawa, Sadaaki Miyamoto (Eds.): Modeling Decisions for Artificial Intelligence, Second International Conference, MDAI 2005, Tsukuba, Japan, July 25-27, 2005, Proceedings. Lecture Notes in Computer Science 3558, Springer 2005, isbn 3-540-27871-0

Sadaaki Miyamoto: Generalizations of multisets and rough approximations. Int. J. Intell. Syst. 19(7): 639-652 (2004)

Sadaaki Miyamoto: Data Structure and Operations for Fuzzy Multisets. : 189-200 (2004)

Sadaaki Miyamoto: Multisets and Fuzzy Multisets as a Framework of Information Systems. MDAI 2004: 27-40

Sadaaki Miyamoto, Kiyotaka Mizutani: Fuzzy Multiset Model and Methods of Nonlinear Document Clustering for Information Retrieval. MDAI 2004: 273-283

Vicenç Torra, Sadaaki Miyamoto: Evaluating Fuzzy Clustering Algorithms for Microdata Protection. Privacy in Statistical Databases 2004: 175-186

Sadaaki Miyamoto: Proximity measures for terms based on fuzzy neighborhoods in document sets. Int. J. Approx. Reasoning 34(2-3): 181-199 (2003)

Sadaaki Miyamoto: Information clustering based on fuzzy multisets. Inf. Process. Manage. 39(2): 195-213 (2003)

Sadaaki Miyamoto, Youichi Nakayama: Algorithms of Hard c-Means Clustering Using Kernel Functions in Support Vector Machines. JACIII 7(1): 19-24 (2003)

Sadaaki Miyamoto, Daisuke Suizu: Fuzzy c-Means Clustering Using Kernel Functions in Support Vector Machines. JACIII 7(1): 25-30 (2003)

Sadaaki Miyamoto, Seiji Yasunobu: Special Issue on Selected Papers from SCIS & ISIS 2002. JACIII 7(2): 71 (2003)

Zhi-Qiang Liu, Sadaaki Miyamoto: Preface of the guest Editors. Soft Comput. 7(3): 139 (2003)

Shigeyuki Takahara, Yoshiyuki Kusumoto, Sadaaki Miyamoto: Solution for textile nesting problems using adaptive meta-heuristics and grouping. Soft Comput. 7(3): 154-159 (2003)

Vicenç Torra, Sergi Lanau, Sadaaki Miyamoto: Fuzzy clustering for indexing in the GAMBAL information retrieval system. EUSFLAT Conf. 2003: 54-58

Sadaaki Miyamoto, Kiyotaka Mizutani: Fuzzy Multiset Space and c-Means Clustering Using Kernles with Applications to Information Retrieval. IFSA 2003: 387-395

Kiyotaka Mizutani, Sadaaki Miyamoto: Fuzzy Multiset Model for Information Retrieval and Clustering Using a Kernel Function. ISMIS 2003: 417-421

Sadaaki Miyamoto, Arnold C. Alanzado: Fuzzy c-Means and Mixture Distribution Models in the Presence of Noise Clusters. Int. J. Image Graphics 2(4): 573-586 (2002)

Vicenç Torra, Sadaaki Miyamoto: Hierarchical Spherical Clustering. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10(2): 157-172 (2002)

Sadaaki Miyamoto, Daisuke Suizu: Fuzzy c-Means Clustering Using Transformations into High Dimensional Spaces. FSKD 2002: 656-660

Shigeyuki Takahara, Yoshiyuki Kusumoto, Sadaaki Miyamoto: An Adaptive Meta-heuiristic Approach Using Partial Optimization to Non-convex Polygons Allocation Problem. FUZZ-IEEE 2001: 1191-1194

Sadaaki Miyamoto: Fuzzy Multisets and Fuzzy Clustering of Documents. FUZZ-IEEE 2001: 1539-1542

Sadaaki Miyamoto: Generalizations of Fuzzy Multisets for Including Infiniteness. JSAI Workshops 2001: 283-288

Takatsugu Koga, Sadaaki Miyamoto, Osamu Takata: Fuzzy c-Means and Mixture Distribution Model for Clustering Based on L₁-Space. JSAI Workshops 2001: 289-294

Sadaaki Miyamoto: Fuzzy Multisets and Their Generalizations. WMP 2000: 225-236

Takehisa Onisawa, Sadaaki Miyamoto: Applications of Soft Computing to Human-centered Information Systems. JACIII 3(1): 1-2 (1999)

Kazutaka Umayahara, Yoshiteru Nakamori, Sadaaki Miyamoto: Fuzzy Clustering for Detecting Linear Structures with Different Dimensions. JACIII 3(1): 13-20 (1999)

Shigeyuki Takahara, Sadaaki Miyamoto: An Adaptive Tabu Search (ATS) and Other Metaheuristics for a Class of Optimal Allocation Problems. JACIII 3(1): 21-27 (1999)

Tetsuji Tani, Takahiro Kobayashi, Sadaaki Miyamoto: Hierarchical Control System with Fuzzy Supervisory System and PID Controller and Application to Large-Scale Hydrogen Gas Purity Control. JACIII 3(2): 126-130 (1999)

Sadaaki Miyamoto, Kazutaka Umayahara, T. Nemoto: Four c-Regression Methods and Classification Functions. RSFDGrC 1999: 203-211

Sadaaki Miyamoto: Application of Rough Sets to Information Retrieval. JASIS 49(3): 195-205 (1998)

Sadaaki Miyamoto: An overview and new methods in fuzzy clustering. KES (1) 1998: 33-40

Sadaaki Miyamoto, M. Sato, Kazutaka Umayahara: Generalization of discriminant analysis for possibility distributions. KES (3) 1998: 177-182