q-Rung orthopair fuzzy sets : theory and applications / Harish Garg, editor.
Garg, Harish, editor.
2022
QA248.5
Available Online

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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.
Access Note 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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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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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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