title: ELICIT: An alternative imprecise weight elicitation technique for use in multi-criteria decision analysis for healthcare.
abstract: OBJECTIVE
  In this paper, the readers are introduced to ELICIT, an imprecise weight elicitation technique for multicriteria decision analysis for healthcare.
  
  
  METHODS
  The application of ELICIT consists of two steps: the rank ordering of evaluation criteria based on decision-makers' (DMs) preferences using the principal component analysis; and the estimation of criteria weights and their descriptive statistics using the variable interdependent analysis and the Monte Carlo method. The application of ELICIT is illustrated with a hypothetical case study involving the elicitation of weights for five criteria used to select the best device for eye surgery.
  
  
  RESULTS
  The criteria were ranked from 1-5, based on a strict preference relationship established by the DMs. For each criterion, the deterministic weight was estimated as well as the standard deviation and 95% credibility interval.
  
  
  CONCLUSIONS
  ELICIT is appropriate in situations where only ordinal DMs' preferences are available to elicit decision criteria weights.
authors.affiliation: a 1 Florida A&M University-College of Pharmacy and Pharmaceutical Sciences, Tallahassee, Florida, USA.
authors.forename: Vakaramoko
authors.initials: V
authors.lastname: Diaby
authors.affiliation: b 2 Florida State University, 3200 Commonwealth Blvd. Suite, 153 Tallahasee, Tallahasee, Florida 32303, USA.
authors.forename: Vassiki
authors.initials: V
authors.lastname: Sanogo
authors.affiliation: c 3 Université Cergy-Pontoise-Théorie Économique, Modélisation et Applications 33, boulevard du Port, Cergy-Pontoise Cedex, 95011, France.
authors.forename: Kouame Richard
authors.initials: KR
authors.lastname: Moussa
mesh_terms: D002755:Choice Behavior; D003657:Decision Making; D003661:Decision Support Techniques; D003695:Delivery of Health Care / Q000379:methods*; D006801:Humans; D009010:Monte Carlo Method
keywords: Monte Carlo method; healthcare; imprecise eight elicitation; multi-criteria decision analysis; principal component analysis; variable interdependent analysis