Pythagorean Fuzzy Sets
Theory and Applications
- Publisher's listprice EUR 149.79
-
63 540 Ft (60 515 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 8% (cc. 5 083 Ft off)
- Discounted price 58 457 Ft (55 674 Ft + 5% VAT)
63 540 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1st ed. 2021
- Publisher Springer
- Date of Publication 24 July 2022
- Number of Volumes 1 pieces, Book
- ISBN 9789811619915
- Binding Paperback
- No. of pages442 pages
- Size 235x155 mm
- Weight 694 g
- Language English
- Illustrations 10 Illustrations, black & white; 53 Illustrations, color 431
Categories
Short description:
This book presents a collection of recent research on topics related to Pythagorean fuzzy set, dealing with dynamic and complex decision-making problems. It discusses a wide range of theoretical and practical information to the latest research on Pythagorean fuzzy sets, allowing readers to gain an extensive understanding of both fundamentals and applications. It aims at solving various decision-making problems such as medical diagnosis, pattern recognition, construction problems, technology selection, and more, under the Pythagorean fuzzy environment, making it of much value to students, researchers, and professionals associated with the field.
Long description:
This book presents a collection of recent research on topics related to Pythagorean fuzzy set, dealing with dynamic and complex decision-making problems. It discusses a wide range of theoretical and practical information to the latest research on Pythagorean fuzzy sets, allowing readers to gain an extensive understanding of both fundamentals and applications. It aims at solving various decision-making problems such as medical diagnosis, pattern recognition, construction problems, technology selection, and more, under the Pythagorean fuzzy environment, making it of much value to students, researchers, and professionals associated with the field.
Table of Contents:
Muhammet Deveci: A Survey on Recent Applications of Pythagorean Fuzzy Sets.- Xindong Peng: Pythagorean Fuzzy MCDM Method based on CODAS.- Paul Augustine Ejegwa and Chiranjibe Jana: Some New Weighted Correlation Coefficients between Pythagorean Fuzzy Sets and their Applications.- Muhammet Gul: A Risk Prioritization Method based on Interval-Valued Pythagorean Fuzzy TOPSIS and its Application for Prioritization of the Risks Emerged at Hospitals during Covid-19 Pandemic.- Lazim Abdullah: Choquet Integral under Pythagorean Fuzzy Sets for Decision Making.- Zhen Jin: Ranking Methods of Pythagorean Fuzzy Numbers.- Ezgi Turkarslan, Murat Olgun, Mehmet Unver, S. Eyhmus Yardimci: Some Trigonometric Similarity Measures Based on Choquet Integral for Pythagorean Fuzzy Sets and its Applications to Pattern Recognition.- Sapan Kumar Das, S. A. Edalatpanah: Application of Linear Programming in Diet Problem under Pythagorean Fuzzy Environment.- Jun Wang: Extensions of Linguistic Pythagorean Fuzzy Sets and their Applications in Multi-attribute Group Decision Making.- M. Riaz: Aggregation Operators with Pythagorean Fuzzy Soft Sets.- Z. S. Chen: Isomorphic Operators and Ranking Methods for Pythagorean and Intuitionistic Fuzzy Sets.- Iman Sharaf: Evaluating Energy Storage Technologies with a Pythagorean Fuzzy MULTIMOORA.- Zeeshan Ali and Tahir Mahmood: Schweizer?Sklar Muirhead Mean Aggregation Operators bsed on Pythagorean Fuzzy Set and their Application in Multicrieria Decision Making.- Animesh Biswas: On Developing Pythagorean Fuzzy Dombi Geometric Bonferroni Mean Operators with their Application to Multicriteria Decision Making.- Nikunj Aggarwal: Parametric Directed Divergence Measure for Pythagorean Fuzzy Set and their Applications to Multicriteria Decision Making.- Arunodaya Raj Mishra: Assessment of Agriculture Crop Selection using Pythagorean Fuzzy CRTITIC-VIKOR Decision-Making Framework.- A. Biswas and Arun Srakar: Maclaurin Symmetric Mean-Based Archimedean Aggregation Operators for Aggregating Hesitant Pythagorean Fuzzy Elements and their Applications to Multicriteria Decision Making.
More
