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Granular Computing and Big Data Advancements

by Chao Zhang , Wentao Li
Save 17% Save 17%
Current price ₹31,292.00
Original price ₹37,551.00
Original price ₹37,551.00
Original price ₹37,551.00
(-17%)
₹31,292.00
Current price ₹31,292.00

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Book cover type: Hardcover
  • ISBN13: 9798369342923
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: IGI Global
  • Publisher Imprint: IGI Global
  • Publication Date:
  • Pages: 310
  • Original Price: GBP 247.0
  • Language: English
  • Edition: N/A
  • Item Weight: 799 grams
  • BISAC Subject(s): Information Technology

In an era defined by the deluge of data, navigating the complexities of decision-making under conditions of uncertainty has emerged as a formidable challenge for scholars and practitioners alike. The sheer volume and velocity of information inundating decision-makers often leads to paralysis or misguided choices, amplifying the risks inherent in uncertain environments. Granular Computing and Big Data Advancements provides insights and solutions in this challenging landscape. The impact of Granular Computing and Big Data Advancements reverberates across the research community, offering a cohesive resource that bridges the gap between theory and practice. With its interdisciplinary approach and emphasis on innovation, the book fosters collaboration and empowers scholars to tackle complex challenges head-on. Whether researchers seek novel methodologies, practitioners aim to enhance decision-making processes, or students embark on their academic journey, this publication serves as a cornerstone in the quest for effective decision-making amidst the uncertainties of the modern world.

Zhang, Chao: - Chao Zhang received the M.S. degree in Electrical and Electronic Engineering from the University of Hong Kong, Hong Kong, China, in 2014, and the Ph.D. degree in Systems Engineering from the Shanxi University, Taiyuan, China, in 2017. He is currently an Associate Professor with Shanxi University, Taiyuan, China. He has published more than 50 journal and conference papers. His current research interests include granular computing and intelligent decision-making.

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