Understanding Information Entropy

$160.00 – $252.00

Vijay Kumar, PhD – Professor, Department of Mathematics, Faculty of Engineering & Technology, Manav Rachna International Institute of Research & Studies, Faridabad, India

Series: Advances in Applied Science and Engineering
BISAC: TEC066000; SCI057000; SCI074000
DOI: https://doi.org/10.52305/GRXE4871

This book covers both subjective and practical concepts required for decision-making. Moreover, few books are available on the subject. If a reader knows the applications of the information theoretic measures, then definitely its interest will increase. The content covered in the book is relevant for undergraduate, postgraduate students and research scholars across the globe.

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Table of Contents

Preface

Chapter 1. Information Entropy in Excited States in Confined Quantum Systems
Sangita Majumdar, Neetik Mukherjee and Amlan K. Roy
Department of Chemical Sciences,Indian Institute of Science Education and Research (IISER) Kolkata, Mohanpur, Nadia, India

Chapter 2. Information Entropy of Molecular Ensembles: Recent Advances and Prospectives
Denis Sh. Sabirov
Institute of Petrochemistry and Catalysis, UFRC RAS, Ufa, Russia

Chapter 3. Logarithmic Entropy for a Single Valued Neutrosophic Set
Dr. Pratiksha Tiwari
Delhi Institute of Advanced Studies, Delhi, India

Chapter 4. A Hybrid Intuitionistic Fuzzy Information Based TOPSIS Method with Applications in Multi Criteria Decision-Making
H. D. Arora¹, Anjali Naithani¹ and Rajnder Kumar2
¹Department of Applied Mathematics, Amity Institute of Applied Sciences, Amity University, Noida, India
²Department of Mechanical Engineering, Faculty of Engineering & Technology, Manav Rachna International Institute of Research & Studies, Faridabad, Haryana

Chapter 5. Generalized Information Theoretic Measures with Applications in Decision Making
Vijay Kumar and Sarika Jain
Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, India

Chapter 6. Parametric Intuitionistic Fuzzy Entropies with Applications in Insurance
Prince Goyal
Department of Community Medicine, Dr. Yashwant Singh Parmar Govt. Medical College, Nahan, Distt. Sirmour, (Himachal Pradesh), India

Chapter 7. Information Entropy and Volatility Implied
Imen Mahmoud¹ and Kamel Naoui²
¹Laboratory of Research in Innovative Management Risk, Accounting and Finance (LARIMRAF), Department of Finance, University of Manouba UMA, Manouba, Tunisia
²Dean of Graduate Business School of Tunis, Department of Finance, University of Manouba UMA, Manouba, Tunisia

Index

About the Editor and the Contributors

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