Decision Making with Spherical Fuzzy Sets

Theory and Applications

Cengiz Kahraman (Redaktør) ; Fatma Kutlu Gundogdu (Redaktør)

Serie: Studies in Fuzziness and Soft Computing 392

This book introduces readers to the novel concept of spherical fuzzy sets, showing how these sets can be applied in practice to solve various decision-making problems. It also demonstrates that these sets provide a larger preference volume in 3D space for decision-makers. Les mer
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Vår pris: 2025,-

(Innbundet) Fri frakt!
Leveringstid: Sendes innen 21 dager
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering.

Om boka

This book introduces readers to the novel concept of spherical fuzzy sets, showing how these sets can be applied in practice to solve various decision-making problems. It also demonstrates that these sets provide a larger preference volume in 3D space for decision-makers. Written by authoritative researchers, the various chapters cover a large amount of theoretical and practical information, allowing readers to gain an extensive understanding of both the fundamentals and applications of spherical fuzzy sets in intelligent decision-making and mathematical programming.

Fakta

Innholdsfortegnelse

Chapter 1: From Ordinary Fuzzy Sets to Spherical Fuzzy Sets.- Chapter 2: Properties and Arithmetic operations with Spherical Fuzzy Sets.- Chapter 3: Interval Valued Spherical Fuzzy Aggregation Operators and their Application in Decision Making Problem.- Chapter 4: The generalized Dice similarity measures for spherical fuzzy sets and their applications.- Chapter 5: Spherical Fuzzy Bonferroni Mean Aggregation Operators and Their Applications to Multiple-Attribute Decision Making.- Chapter 6: Prioritizing Manufacturing Challenges of a Contract Manufacturing Company for Personal Auto by Using Spherical WASPAS Method.- Chapter 7: Assessment of Livability Indices of Suburban Places of Istanbul by Using Spherical Fuzzy CODAS Method.- Chapter 8: Global Supplier Selection with Spherical Fuzzy Analytic Hierarchy Process.- Chapter 9: Delivery Drone Design Using Spherical Fuzzy Quality Function Deployment.