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Titlebook: Decision Making with Spherical Fuzzy Sets; Theory and Applicati Cengiz Kahraman,Fatma Kutlu Gündo?du Book 2021 Springer Nature Switzerland

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發(fā)表于 2025-3-21 16:15:17 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Decision Making with Spherical Fuzzy Sets
副標(biāo)題Theory and Applicati
編輯Cengiz Kahraman,Fatma Kutlu Gündo?du
視頻videohttp://file.papertrans.cn/265/264245/264245.mp4
概述The first book comprehensively covering spherical fuzzy sets.Reports on cutting-edge applications in decision making.Includes a large set of numerical examples
叢書名稱Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Decision Making with Spherical Fuzzy Sets; Theory and Applicati Cengiz Kahraman,Fatma Kutlu Gündo?du Book 2021 Springer Nature Switzerland
描述.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..
出版日期Book 2021
關(guān)鍵詞Multi-valued spherical fuzzy sets; Intuitionistic Fuzzy Sets; Neutrosophic Sets; Pythagorean Fuzzy Sets
版次1
doihttps://doi.org/10.1007/978-3-030-45461-6
isbn_softcover978-3-030-45463-0
isbn_ebook978-3-030-45461-6Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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發(fā)表于 2025-3-21 21:01:18 | 只看該作者
Simple Additive Weighting and Weighted Product Methods Using Spherical Fuzzy Sets is entitled spherical fuzzy sets. These sets not only overcome the vagueness but also clarify hesitancy of decision makers’ judgments. This also presents larger preference domain to decision makers. In this chapter, we apply single-valued and interval-valued spherical SAW and WPM methods for the selection of insurance options.
板凳
發(fā)表于 2025-3-22 02:22:42 | 只看該作者
Book 2021esearchers, 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..
地板
發(fā)表于 2025-3-22 04:45:46 | 只看該作者
Logic and Relational Databases,d STrF-numbers are developed. Finally, by using the STF-numbers and STrF-numbers, two multi-criteria decision making methods are developed and two examples are given to illustrate the proposed methods.
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Date Palm Micropropagation via Organogenesis problem primarily based on adjustable soft discernibility matrix. It offers an order relation among all the items of our universe. Finally, an illustrative example is mentioned to show that they can be successfully used to solve problems with uncertainties.
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發(fā)表于 2025-3-22 19:54:33 | 只看該作者
Mohammad Salma,Florent Engelmann is entitled spherical fuzzy sets. These sets not only overcome the vagueness but also clarify hesitancy of decision makers’ judgments. This also presents larger preference domain to decision makers. In this chapter, we apply single-valued and interval-valued spherical SAW and WPM methods for the selection of insurance options.
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發(fā)表于 2025-3-23 00:19:34 | 只看該作者
https://doi.org/10.1007/978-981-99-0475-4 Industry 4.0 technologies. Five different alternatives are evaluated according to seven conflicting criteria by three decision makers. The results are compared with single-valued spherical fuzzy MULTIMOORA method. The results indicate that Industry 4.0 performance evaluating problem can be tackled by using the proposed methodology effectively.
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發(fā)表于 2025-3-23 01:55:47 | 只看該作者
Date Palm Fiber Extraction and Treatmentd sum is equal to at most 1. We employ Spherical fuzzy QFD (SF-QFD) in the design of delivery drones. The importance ratings and global weights of CRs and improvement directions of DRs are represented by SFSs. Spherical fuzzy aggregation operators are used to aggregate the opinions of different decision makers.
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發(fā)表于 2025-3-23 06:00:37 | 只看該作者
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