Identifying most typical and most ideal attribute levels in small populations of expert decision makers: Studying the Go/No Go decision of disaster relief organizations
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DOI: 10.1016/j.jocm.2020.100204
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Cited by:
- Daouda KAMISSOKO & Didier Gourc & François Marmier & Antoine Clement, 2022. "A Go/No-Go Decision-Making Model Based on Risk and Multi-Criteria Techniques for Project Selection," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 15(2), pages 1-21, December.
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Keywords
ACBC survey of disaster relief “Go/No-Go” decision; Most typical (MT) / most ideal (MI) attribute levels; Part-worth utilities; Potentially all pairwise RanKings of all possible alternatives (PAPRIKA) method; Bayesian estimation of multivariate hypergeometric distribution zero counts;All these keywords.
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