Fuzzy Mathematical Analysis and Advances in Computational Mathematics
Springer Verlag, Singapore
978-981-19-0473-8 (ISBN)
The edited volume includes papers in the fields of fuzzy mathematical analysis and advances in computational mathematics. The fields of fuzzy mathematical analysis and advances in computational mathematics can provide valuable solutions to complex problems. They have been applied in multiple areas such as high dimensional data analysis, medical diagnosis, computer vision, hand-written character recognition, pattern recognition, machine intelligence, weather forecasting, network optimization, VLSI design, etc. The volume covers ongoing research in fuzzy and computational mathematical analysis and brings forward its recent applications to important real-world problems in various fields. The book includes selected high-quality papers from the International Conference on Fuzzy Mathematical Analysis and Advances in Computational Mathematics (FMAACM 2020).
S.R. Kannan received his Ph.D. from Indian Institute of Technology, Madras, India and PDF at DISI, University of Genova, Genova, Italy. He has received post doctoral fellowship from National Cheng Kung University (web.ncku.edu.tw), Taiwan. Presently Dr. S.R. Kannan is working as Professor in Department of Mathematics, Pondicherry University (A Central University of India), India. He had been awarded a grant in the framework of a joint agreement between the Direzione Generale per la Cooperazione allo Sviluppo of the Italian Ministry of Foreign Affairs and the ICTP Programme for Training and Research in Italian Laboratories. He had been invited by Director General, National Agriculture Research Center, Tsukuba, Japan, for joint research work on remote sensing data to estimate rice yield. He has joint collaborative research projects with NSC Taiwan and MOST Israel. He has received number of research grants from Indian funding agencies UGC India, CSIR India, DST Indiaand research grants from foreign funding agencies NSC Taiwan, MOST Israel, ICTP Italy, External Affair Ministry Italy, NARC Japan, etc. He has been served as editorial board member for many scientific journals. Mark Last is a Full Professor at the Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Israel and the Head of the Data Science Research Center at Ben-Gurion University.Prof. Last obtained his Ph.D. degree from Tel Aviv University, Israel in 2000. Prior to starting his appointment at Ben-Gurion University in March 2001, Mark Last was a Visiting Assistant Professor at the Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA (1999-2001). Between the years 2009-2012, Prof. Last has served as the Head of the Software Engineering Program at Ben-Gurion University. He has published over 200 peer-reviewed papers and 11 books on data mining, text mining, and cyber security. Prof. Last is a Senior Member of the IEEE Computer Society and a Professional Member of the Association for Computing Machinery (ACM). He currently serves as an Editorial Board Member of Data Mining and Knowledge Discovery. Previously, he has served as an Associate Editor ofIEEE Transactions on Systems, Man, and Cybernetics - Part C (2004 – 2012), Pattern Analysis and Applications (2007- 2016), andIEEE Transactions on Cybernetics(2013-2019). His main research interests are focused on data mining, cross-lingual text mining, soft computing, cyber intelligence, and medical informatics. Tzung-Pei Hong received his B.S. degree in chemical engineering from National Taiwan University in 1985, and his Ph.D. degree in computer science and information engineering from National Chiao-Tung University in 1992. He served at the Department of Computer Science in Chung-Hua Polytechnic Institute from 1992 to 1994, and at the Department of Information Management in I-Shou University from 1994 to 2001. He was in charge of the whole computerization and library planning for National University of Kaohsiung in Preparation from 1997 to 2000 and served as the first director of the library and computer center in National University of Kaohsiung from 2000 to 2001, as the Dean of Academic Affairs from 2003 to 2006, as the Administrative Vice President from 2007 to 2008, and as the Academic Vice President in 2010. He is currently a distinguished and chair professor at the Department of Computer Science and Information Engineering and at the Department of Electrical Engineering, and the director of AI Research Center in National University of Kaohsiung, Taiwan. He is also a joint professor at the Department of Computer Science and Engineering, National Sun Yat-sen University, Taiwan. He got the first national flexible wage award from Ministry of Education in Taiwan. He has published more than 600 research papers in international/national journals and conferences and has planned more than fifty information systems. He is also the board member of more than forty journals and the program committee member of more than five hundred conferences. His current research interests include knowledge engineering, data mining, soft computing, management information systems. Chun-Hao Chen is an associate professor at Department of Information and Finance Management at National Taipei University of Technology, Taipei, Taiwan. Dr. Chen received his Ph.D. degree with major in computer science and information engineering from National Cheng Kung University, Taiwan, in 2008. After that, he joined Department of Computer Science and Information Engineering of National University of Kaohsiung at Kaohsiung City, Taiwan, as a postdoctoral fellow during 2009. During February 2010 to July 2013, August 2013 to July 2017 and August 2017 to Jounary 2020, he served as an assistant, associate and professor of Department of Computer Science and Information Engineering at Tankang University, respectively. He has a wide variety of research interests covering data mining, time series, machine learning, evolutionary algorithms, and fuzzy theory. Research topics cover portfolio selection, trading strategy, business data analysis, time series pattern discovery, etc. He has published more than 120 research papers in referred journals (40 SCI papers) and international conferences (more than 75 papers, including IEEE CEC, Fuzz-IEEE, IEEE SMC, IEEE ICKII, PAKDD, and ACIIDS, etc). His google scholar citation is 882 (h-index: 15). He serves as the associate editor of the International Journal of Data Science and Pattern Recognition, and IEEE Access(SCI). He is also a member of IEEE.
Bipolar Complex Pythagorean Fuzzy Graphs.- Modified Operations Of Trapezoidal Fuzzy Numbers For Solving Fuzzy Linear Programming Problems.- An Innovative Method for Finding Optimal Solution Fully Solved by Using Generalized Quadratic Fuzzy Transportation Problems.- A New Ranking Method For Solving Nanogonal Fuzzy Transportation Problem.- Novel Arithmetic Operations On Ivifns And Their Properties On Ranking Functions.
| Erscheinungsdatum | 12.04.2023 |
|---|---|
| Reihe/Serie | Studies in Fuzziness and Soft Computing |
| Zusatzinfo | 49 Illustrations, color; 52 Illustrations, black and white; XIII, 268 p. 101 illus., 49 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Mathematik / Informatik ► Mathematik ► Allgemeines / Lexika | |
| Mathematik / Informatik ► Mathematik ► Logik / Mengenlehre | |
| Technik | |
| Schlagworte | Big data analysis • computational mathematics • Fuzzy Clustering • Fuzzy Set • Fuzzy Soft Computing |
| ISBN-10 | 981-19-0473-1 / 9811904731 |
| ISBN-13 | 978-981-19-0473-8 / 9789811904738 |
| Zustand | Neuware |
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