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| 008 | 231003s2023 sz | s |||| 0|eng d | ||
| 020 | _a9783031403286 | ||
| 024 | 7 |
_a10.1007/978-3-031-40328-6 _2doi |
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| 040 |
_aES-VaUEC _bspa _cES-VaUEC |
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| 050 | 0 | 4 |
_aT57.6-.97 _b2024 |
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_aAdvances in Best-Worst Method: _bProceedings of the Fourth International Workshop on Best-Worst Method (BWM2023) _cedited by Jafar Rezaei, Matteo Brunelli, Majid Mohammadi |
| 250 | _a1st ed 2023 | ||
| 264 | 1 |
_aCham _c2023 _bSpringer International Publishing |
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| 300 | 0 | 0 | _a1 recurso en línea |
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 490 | 0 |
_aLecture Notes in Operations Research, _x2731-0418 |
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| 505 | 0 | _aProbabilistic group decision-making using BWT -- Robust stakeholder-based group-decision making framework: the Multi-Actor Multi-Criteria Analysis (MAMCA) with the integration of Best-Worst Method (BWM) -- A consistent and consensual best-worst method and its application to salespersons' performance evaluation problem -- Which Prioritization Method is Better for Deriving Priority from Best-Worst Preferences? A Theoretical and Experimental Analysis -- A hesitant multiplicative best-worst method for multiple criteria decision making -- Industry 4.0 and green entrepreneurship for environmental sustainability: Exploring barriers from an Indian SME Perspective -- Supplier selection for the oil industry using a combined BWM & F-VIKOR, case study: National Iranian South Oil Company -- Assessing smartness of an automotive industry: Importance-Performance Analysis -- Determining the criterion weights for the selection of volunteers in humanitarian organizations by the Best-Worst Method -- Emergency service quality assessment using SERVQUAL and BWM -- Avalanche risk analysis by a combined Geographic Information System and Bayesian Best-Worst Method -- Snow Avalanche Hazard Prediction Using the Best-Worst Method - Case Study: the Šar Mountains, Serbia -- Assessment of renewable energy development strategies with BWM-Grey TOPSIS. | |
| 520 | _aThis proceedings book contains selected papers from the Fourth International Workshop on Best-Worst Method (BWM2023), held in Delft, the Netherlands, from 8 to 9 June 2023. It presents recent advancements in theory and applications of the Best-Worst Method (BWM). It provides valuable insights on why and how to use BWM in a diverse set of applications including health, energy, supply chain management, and engineering. The book highlights the use of BWM in different settings including single decision-making vs group decision-making, full information vs incomplete and uncertain situations. Academics and practitioners who are involved in multi-criteria decision-making and decision analysis benefit from the papers published in this book. | ||
| 830 | 0 |
_aLecture Notes in Operations Research, _x2731-0418 |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-40328-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia) |
| 912 | _aZDB-2-BUM | ||
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| 988 | _aSpringer_Business_2023 | ||
| 999 |
_c238714 _d238714 |
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