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Applications of Computational Intelligence in Management and Mathematics II

9th ICCM 2023, NERIST, Arunachal Pradesh, India, August 04-05

  • Conference proceedings
  • Jul 2025

Overview

Editors:
  1. Frank Lin

    1. CSUSB, San Bernardino, USA

  2. Ashok Patel

    1. Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, USA

  3. Nishtha Kesswani

    1. Department of Computer Science, Central Univeristy of Rajasthan, Ajmer, India

  4. Bosubabu Sambana

    1. Department of Computer Science and Engineering (Data Science), School of Computing, Mohan Babu University, Tirupathi, India

  • Attempts to cover all potential aspects of computational intelligence techniques in simulations of applications
  • Expected to provide valuable insights to researchers and industry practitioners working incomputational management
  • Provides powerful tools for analysis and solution of incomplete data and complex problems for standard mathematics

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 493)

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About this book

This volume encapsulates the collective knowledge shared and innovations presented at the 9th International Conference on Computers, Management & Mathematical Sciences (ICCM) 2023 held on the 24th and 25th of August, 2023 at the North Eastern Regional Institute of Science and Technology (NERIST), India. The ICCM 2023 was a hybrid conference, featuring both in-person and virtual attendance and explores the transformative role of computational intelligence in solving complex problems across management and mathematics. Computational intelligence encompasses techniques inspired by the human brain and nature—such as fuzzy systems, neural networks, and evolutionary computation—that excel in stochastic environments where reasoning is essential to derive meaningful solutions.

The proceedings offer a comprehensive overview of how these powerful algorithms and principles are applied to a diverse array of research challenges, with a particular emphasis on computational aspects in the business domain. Scholars, researchers, and students will find invaluable insights into the development and implementation of innovative methods tailored to real-world scenarios.

Key Highlights:

  • Application of fuzzy logic to decision-making in uncertain environments.
  • Advances in neural networks for predictive analysis and optimization.
  • Evolutionary computation techniques for addressing complex, multi-variable problems.
  • Insights into computational methods that bridge management theory and mathematical models.

This volume serves as a critical resource for anyone seeking to harness computational intelligence to push the boundaries of research in management and mathematics. Whether you're a student embarking on your academic journey or a seasoned scholar, this book provides the tools and knowledge needed to navigate this dynamic field.

Keywords

  • Computer Science
  • Informatics
  • Conference Proceedings
  • Research
  • Applications

Editors and Affiliations

  • CSUSB, San Bernardino, USA

    Frank Lin

  • Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, USA

    Ashok Patel

  • Department of Computer Science, Central Univeristy of Rajasthan, Ajmer, India

    Nishtha Kesswani

  • Department of Computer Science and Engineering (Data Science), School of Computing, Mohan Babu University, Tirupathi, India

    Bosubabu Sambana

Bibliographic Information

  • Book Title: Applications of Computational Intelligence in Management and Mathematics II

  • Book Subtitle: 9th ICCM 2023, NERIST, Arunachal Pradesh, India, August 04-05

  • Editors: Frank Lin, Ashok Patel, Nishtha Kesswani, Bosubabu Sambana

  • Series Title: Springer Proceedings in Mathematics & Statistics

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Hardcover ISBN: 978-3-031-84512-3Due: 31 July 2025

  • Softcover ISBN: 978-3-031-84515-4Due: 31 July 2026

  • eBook ISBN: 978-3-031-84513-0Due: 31 July 2025

  • Series ISSN: 2194-1009

  • Series E-ISSN: 2194-1017

  • Edition Number: 1

  • Number of Pages: XVI, 557

  • Number of Illustrations: 59 b/w illustrations, 222 illustrations in colour

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