An Evaluation of Multiple Objective Decision Support Weighting Techniques in Natural Resource Management
By Stefan Hajkowicz, G. Mcdonald, Phil Smith. 2000
164 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management, Monitoring, Policy and Law, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/10c60f07cdeba501f0b84736d5f0403a8216b5ff
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Management, Monitoring, Policy and Law
In Management Science and Operations Research
- G. Herath
- Jayanath Ananda
- Francisco Javier Santos-Arteaga
- H. Martins
- Guillermo Mendoza
- Madjid Tavana
- Mehdi Soltanifar
- Stefan Hajkowicz
Citations in the corpus
- Multi-criteria decision analysis in natural resource management: A critical review of methods and new modelling paradigms (2006, background): “…of a region 1, environment; 2, ecology; 3, economy; 4, sociology; 5, psychology; 6, physiognomy/cultural geography Preference structure Utility theory Hajkowicz et al. (2000) Utility theory with the following weighting methods: fixed point scoring, rating, ordinal ranking, a graphical method 6/5…”
- A critical review of multi-criteria decision making methods with special reference to forest management and planning (2009, methodology): “…MCDM methods can be defined as decision support techniques that have a finite number of alternatives, a set of objectives and criteria bywhich the alternatives are to be judged and amethod of ranking alternatives, based on howwell they satisfy the objectives and criteria (Hajkowicz et al., 2000a).”
- Analytical hierarchy process: revolution and evolution (2021, background): “Hajkowicz et al. (2000) proposed the use of a binary scale as a potential solution, with decision-makers describing whether criteria were more, less, or equally important than others.”
- A comparison of multiple criteria analysis techniques for water resource management (2008, background): “Studies of how decision makers interact with weighting techniques have shown they are most comfortable with ordinal rankings of criteria importance (Hajkowicz et al., 2000).”