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_aManagement of Uncertainty Using Linguistic Z-Numbers _h[electronic resource] : _bApplications for Decision-Making, Granular Computing and Social Networks / _cedited by Tofigh Allahviranloo, Sovan Samanta. |
250 | _a1st ed. 2024. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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300 |
_aX, 336 p. 62 illus., 44 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aStudies in Fuzziness and Soft Computing, _x1860-0808 ; _v434 |
|
505 | 0 | _a1. Linguistic Z number fuzzy probabilistic rough set and their corresponding three-way decisions -- 2. TOPSIS-based MAGDM under linguistic Z number information -- 3. A new approach of MCGDM: MARCOS-based alternatives measurement with ranking under linguistic Z number information and their application in the selection of logistics distribution cold chain centre -- 4. Linguistic Z number environment-based site selection of medical logistic centre with TODIM-VIKOR approach -- 5. MCGDM based on TODIM-PROMETHEE II under linguistic Z number environment and their application in site selection of emergency shelte. | |
520 | _aThis book is an in-depth study of the application of Linguistic Z numbers in various domains. It is divided into 18 chapters, each focusing on different aspects and applications of Linguistic Z numbers. The first chapter introduces the concept of a Linguistic Z number fuzzy probabilistic rough set and their corresponding three-way decisions. The second chapter discusses the TOPSIS-based multi-attribute group decision-making (MAGDM) under Linguistic Z number information. The third chapter presents a new approach of multi-criteria group decision-making (MCGDM): MARCOS-based alternatives measurement with ranking under Linguistic Z number information and their application in the selection of logistics distribution cold chain center. The fourth chapter focuses on the Linguistic Z number environment-based site selection of medical logistic centers with the TODIM-VIKOR approach. The fifth chapter explores MCGDM based on TODIM-PROMETHEE II under Linguistic Z number environment and their application in site selection of emergency shelters. The sixth chapter introduces a novel approach of extended ORESTE-based Linguistic Z number MAGDM and their applications in the ability of regional energy assessment. The seventh chapter discusses MCGDM based on MULTIMOORA with Linguistic Z number and their application in software selection. The eighth chapter presents multi-criteria group decision-making using the LogTODIM-TOPSIS approach in a Linguistic Z number environment for selecting auto parts materials in the technology of automobiles. The ninth chapter introduces a Linguistic Z number CoCoSo approach for multi-criteria group decision-making and application to the diagnosis of sepsis. The tenth chapter discusses The ExpTODIM-VIKOR approach under a Linguistic Z number environment and its applications to solve multi-criteria group decision-making problems. This book provides a deep understanding of Linguistic Z numbers and their applications in decision-making, granular computing, and social networks. It is a valuable resource for researchers and practitioners in these fields. | ||
541 |
_fUABC ; _cPerpetuidad |
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650 | 0 | _aComputational intelligence. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence. |
700 | 1 |
_aAllahviranloo, Tofigh. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aSamanta, Sovan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031658532 |
776 | 0 | 8 |
_iPrinted edition: _z9783031658556 |
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_iPrinted edition: _z9783031658563 |
830 | 0 |
_aStudies in Fuzziness and Soft Computing, _x1860-0808 ; _v434 |
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_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-65854-9 |
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