Skip to main content
SpringerLink
Log in

q-Rung Orthopair Fuzzy Sets

Theory and Applications

  • Book
  • © 2022

Overview

Editors:
  1. Harish Garg

    1. Thapar Institute of Engineering and Technology, Patiala, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Explains the concept of q-rung orthopair fuzzy sets
  • Presents exciting case studies on Industry 4.0 transition
  • Discusses about new technologies, algorithms and applications

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 16.99 USD 84.99
Discount applied Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (19 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. q-Rung Orthopair Fuzzy Supra Topological Applications in Data Mining Process

    • Mani Parimala, Cenap Ozel, M. A. Al Shumrani, Aynur Keskin Kaymakci
    Pages 1-15

  3. q-Rung Orthopair Fuzzy Soft Topology with Multi-attribute Decision-Making

    • Muhammad Tahir Hamid, Muhammad Riaz, Khalid Naeem
    Pages 17-46

  4. Decision-Making on Patients’ Medical Status Based on a q-Rung Orthopair Fuzzy Max-Min-Max Composite Relation

    • Paul Augustine Ejegwa
    Pages 47-66

  5. Soergel Distance Measures for q-Rung Orthopair Fuzzy Sets and Their Applications

    • Hüseyin Kamacı, Subramanian Petchimuthu
    Pages 67-107

  6. TOPSIS Techniques on q-Rung Orthopair Fuzzy Sets and Its Extensions

    • V. Salsabeela, Aparna Sivadas, Bibin Mathew, Sunil Jacob John
    Pages 109-138

  7. Knowledge Measure-Based q-Rung Orthopair Fuzzy Inventory Model

    • C. Sugapriya, S. Rajeswari, D. Nagarajan, K. Jeganathan
    Pages 139-166

  8. Higher Type q-Rung Orthopair Fuzzy Sets: Interval Analysis

    • Yu-Dou Yang, Xue-Feng Ding
    Pages 167-195

  9. Evidence-Based Cloud Vendor Assessment with Generalized Orthopair Fuzzy Information and Partial Weight Data

    • R. Krishankumar, Dragan Pamucar, K. S. Ravichandran
    Pages 197-217

  10. Supplier Selection Process Based on CODAS Method Using q-Rung Orthopair Fuzzy Information

    • Dynhora-Danheyda Ramírez-Ochoa, Luis Pérez-Domínguez, Erwin Adán Martínez-Gómez, Vianey Torres-Argüelles, Harish Garg, Veronica Sansabas-Villapando
    Pages 219-240

  11. Group Decision-Making Framework with Generalized Orthopair Fuzzy 2-Tuple Linguistic Information

    • Sumera Naz, Muhammad Akram, Feng Feng, Abid Mahboob
    Pages 241-284

  12. 3PL Service Provider Selection with q-Rung Orthopair Fuzzy Based CODAS Method

    • Adem Pinar, Fatih Emre Boran
    Pages 285-301

  13. An Integrated Proximity Indexed Value and q-Rung Orthopair Fuzzy Decision-Making Model for Prioritization of Green Campus Transportation

    • Muhammet Deveci, Ilgin Gokasar, Dragan Pamucar, Sanjib Biswas, Vladimir Simic
    Pages 303-332

  14. Platform-Based Corporate Social Responsibility Evaluation with Three-Way Group Decisions Under Q-Rung Orthopair Fuzzy Environment

    • Decui Liang, Wen Cao
    Pages 333-355

  15. MARCOS Technique by Using q-Rung Orthopair Fuzzy Sets for Evaluating the Performance of Insurance Companies in Terms of Healthcare Services

    • Tahir Mahmood, Zeeshan Ali
    Pages 357-375

  16. Interval Complex q-Rung Orthopair Fuzzy Aggregation Operators and Their Applications in Cite Selection of Electric Vehicle

    • Somen Debnath
    Pages 377-403

  17. A Novel Fermatean Fuzzy Analytic Hierarchy Process Proposition and Its Usage for Supplier Selection Problem in Industry 4.0 Transition

    • Alper Camci, Muharrem Eray Ertürk, Sait Gül
    Pages 405-437

  18. Pentagonal q-Rung Orthopair Numbers and Their Applications

    • Irfan Deli
    Pages 439-464

  19. q-Rung Orthopair Fuzzy Soft Set-Based Multi-criteria Decision-Making

    • Muhammad Riaz, Hafiz Muhammad Athar Farid
    Pages 465-503

  20. Development of Heronian Mean-Based Aggregation Operators Under Interval-Valued Dual Hesitant q-Rung Orthopair Fuzzy Environments for Multicriteria Decision-Making

    • Nayana Deb, Arun Sarkar, Animesh Biswas
    Pages 505-555
Back to top

Keywords

About this book

This book collects chapters which discuss interdisciplinary solutions to complex problems by using different approaches in order to save money, time and resources. The book presents the results on the recent advancements in artificial intelligence, computational intelligence, decision-making problems, emerging problems and practical achievements in the broad knowledge management field. q-ROFS is one of the hot topics for all the researchers, industrialists as well as academicians. This book is of interest to professionals and researchers working in the field of decision making and computational intelligence, as well as postgraduate and undergraduate students studying applications of fuzzy sets.

The book helps solve different kinds of the decision-making problems such as medical diagnosis, pattern recognition, construction problems and technology selection under the uncertain fuzzy environment. Containing 19 chapters, the book begins by giving a topology of the q-ROFSs and their applications. It then progresses in a logical fashion, dedicating a chapter to each approach, including the generalized information measures for q-ROFSs, implementation of q-ROFSs to medical diagnosis, inventory model, multi-attribute decision-making and approaches to real-life industrial problems such as green campus transportation, social responsibility evaluation pattern and extensions of the q-ROFSs.


Editors and Affiliations

  • Thapar Institute of Engineering and Technology, Patiala, India

    Harish Garg

About the editor

HARISH GARG is Associate Professor at the School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, India. He completed his Ph.D. in Mathematics from the Indian Institute of Technology Roorkee, India, in 2013. His research interests include soft computing, decision making, aggregation operators, evolutionary algorithm, expert systems, and decision support systems. With more than 330 papers published in international journals of repute, he has supervised more than 7 Ph.D. students. He is recipient of the Top-Cited Paper by India-based Author (2015–2019). He serves as Editor-in-Chief for the Journal of Computational and Cognitive Engineering and the Annals of Optimization Theory and Practice and Associate Editor for several renowned journals. His google citations are over 13,000 with h-index 65.

Bibliographic Information

  • Book Title: q-Rung Orthopair Fuzzy Sets

  • Book Subtitle: Theory and Applications

  • Editors: Harish Garg

  • DOI: https://doi.org/10.1007/978-981-19-1449-2

  • Publisher: Springer Singapore

  • 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 Singapore Pte Ltd. 2022

  • Hardcover ISBN: 978-981-19-1448-5Published: 09 September 2022

  • Softcover ISBN: 978-981-19-1451-5Published: 10 September 2023

  • eBook ISBN: 978-981-19-1449-2Published: 08 September 2022

  • Edition Number: 1

  • Number of Pages: XV, 555

  • Number of Illustrations: 14 b/w illustrations, 65 illustrations in colour

  • Topics: Artificial Intelligence, Mathematical Logic and Foundations

Publish with us

Policies and ethics

Back to top

Search

Navigation