
Data-driven Decision Making and Soft Computing
Description
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This book:
Provides a comprehensive coverage of data-driven decision-making techniques and soft computing methods
Aim at bridging the gap between theoretical concepts and practical implementation by offering real-world case studies, examples, and applications
Highlight emerging trends, recent advancements, and cutting-edge research in the field of data-driven decision-making and soft computing
Emphasize the real-world relevance of Fuzzy Decision Making and Soft Computing by showcasing practical applications across various domains
Showcases applications in domains such as control systems, pattern recognition, optimization, and decision support systems
It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics, and communication engineering, computer science and engineering, and applied mathematics.
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Persons
Dragan Pamucar received the M.Sc. degree from the Faculty of Transport and Traffic Engineering, Belgrade, Serbia, in 2009, and the PhD degree in applied mathematics, with a specialization in multi-criteria modeling and soft computing techniques from the University of Defence, Belgrade, in 2013. He is currently an Associate Professor with the Faculty of Organizational Sciences, University of Belgrade. He has five books and more than 220 research articles published in SCI-indexed international journals, including Expert Systems with Applications, Applied Soft Computing, Soft Computing, Computational Intelligence, Computers and Industrial Engineering, Engineering Applications of Artificial Intelligence, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions of Fuzzy Systems, IEEE Transactions on Transportation Electrification, Information Sciences, and Information Research. According to Scopus and Stanford University, he is among the World's Top 2% of scientists as of 2020. According to WoS and Clarivate, he is among the Top 1% of highly cited researchers. His research interests include computational intelligence, multi-criteria decision-making problems, neurofuzzy systems, fuzzy, rough and intuitionistic fuzzy set theory, and neutrosophic theory, and their application areas include a wide range of logistics and engineering problems.
Zarife Zararsiz received the M.Sc. and PhD degrees from Nevsehir Haci Bektas Veli University, Nevsehir, Turkey. She is an Associate Professor with Nevsehir Haci Bektas Veli University, Nevsehir, Turkey. Her research interests include sequence spaces, especially almost convergent sequence spaces and application of the fuzzy sets in medicine and other areas of the science.
Content
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