Name
Abstract | ||
|---|---|---|
Social cost benefit analysis often involves consideration of non-monetary outcomes. Multi-objective optimisation is an appropriate method for handling problems of this type, but many decision-makers have a strong mistrust of the approach. Reflections by the authors on real experiences supporting decision-makers suggest that the key barriers to using multi-objective methods for social cost benefit analysis include: (i) the inadequacy of current social systems models for measuring the end benefits provided by a candidate solution; (ii) the lack of appropriate societal preference estimates for resolving the inherent trade-offs between objectives; and (iii) the lack of practical examples, case studies and guidance which demonstrate that the approach works well. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-37140-0_54 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
multi-objective optimisation,decision support systems | Allegory,Social cost,Computer science,Decision support system,Social system,Management science,Benefit analysis | Conference |
Volume | ISSN | Citations |
7811 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robin C. Purshouse | 1 | 628 | 30.00 |
| John McAlister | 2 | 1 | 0.35 |