Selecting Attributes to Measure the Achievement of Objectives
By Ralph L. Keeney, R. Gregory. 2005
355 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Terre Satterfield
- Kai Ma Chan
- J. Goldstein
- Lee Failing
- Anthony Alexander
- R. Gregory
- Helen Walker
- Mohamed M. Naim
In Management Science and Operations Research
- Terre Satterfield
- Kai Ma Chan
- J. Goldstein
- Lee Failing
- Anthony Alexander
- Helen Walker
- Mohamed M. Naim
In Statistics and Probability
Citations in the corpus
- Science, Uncertainty, and Values in Ecological Restoration: A Case Study in Structured Decision‐Making and Adaptive Management (2013, background): “The selected performance measures are of three different types: natural, proxy, and constructed (Keeney & Gregory 2005).”
- Decision theory in sustainable supply chain management: a literature review (2014, background): “Structured decisions, where the alternativesfocus applies, benefit from clearly defined, unambiguous attributes (Keeney and Gregory, 2005) and so, as shown in Figure 4, metrics and reporting standards are relevant for SSCM Sustainable supply chain management Anthony Alexander, Helen Walker and…”
- From Invisibility to Transparency: Identifying the Implications (2008, background): “This made it possible to factor into the equation the impact of the facility on sacred sites, and any facilities that might seriously affect a sacred site could be eliminated from further consideration without assigning an explicit value to the sites themselves (Keeney and Gregory 2005).”
- Rethinking ecosystem services to better address and navigate cultural values (2012, methodology): “group-deliberative processes for deriving and assigning value (Keeney and Gregory, 2005).”