q-Rung orthopair fuzzy sets : theory and applications / Harish Garg, editor.
Garg, Harish, editor.
2022
QA248.5
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Title
q-Rung orthopair fuzzy sets : theory and applications / Harish Garg, editor.
ISBN
9789811914492 (electronic bk.)
9811914494 (electronic bk.)
9811914486
9789811914485
DOI
https://doi.org/10.1007/978-981-19-1449-2
Published
Singapore : Springer, 2022.
Language
English
Description
1 online resource (1 volume) : illustrations (black and white, and color).
Item Number
10.1007/978-981-19-1449-2 doi
Call Number
QA248.5
Dewey Decimal Classification
511.3/223
Summary
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.
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Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Garg, Harish, editor.
Available in Other Form
Q-RUNG ORTHOPAIR FUZZY SETS.
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TOPSIS Techniques on q-Rung Orthopair Fuzzy Sets and Its Extensions
Knowledge Measure-based q-Rung Orthopair Fuzzy Inventory Model
Higher Type q-rung Orthopair Fuzzy Sets: Interval Analysis
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Platform-Based Corporate Social Responsibility Evaluation with Three-Way Group Decisions Under Q-Rung Orthopair Fuzzy Environment
MARCOS Technique by Using q-Rung Orthopair Fuzzy Sets for Evaluating the Performance of Insurance Companies in Terms of Healthcare Services
Interval Complex q-rung Orthopair Fuzzy Aggregation Operators and Their Applications in Cite Selection of Electric Vehicle
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Pentagonal q-Rung Orthopair Numbers and Their Applications
q-Rung Orthopair Fuzzy Soft Sets Based Multi-Criteria Decision-Making
Development of Heronian Mean Based Aggregation Operators Under Interval-Valued Dual Hesitant q-Rung Orthopair Fuzzy Environments for Multicriteria Decision-Making.

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