| EPSRC Reference: |
EP/C014723/1 |
| Title: |
Investigating the Latest Developments in Multi-Criteria Decision Analysis under Uncertainty |
| Principal Investigator: |
Yang, Professor J |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Manchester Business School |
| Organisation: |
University of Manchester, The |
| Scheme: |
Overseas Travel Grants Pre-FEC |
| Starts: |
16 May 2005 |
Ends: |
15 May 2006 |
Value (£): |
12,302
|
| EPSRC Research Topic Classifications: |
| Manufact. Enterprise Ops& Mgmt |
Mathematical Aspects of OR |
|
| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
|
|
| Related Grants: |
|
| Panel History: |
|
|
Summary on Grant Application Form |
|
Many decision problems are characterised by multiple criteria of both a quantitative and qualitative nature. Decision information could be random, incomplete and vague, which may be caused due to the decision maker's inability to provide precise judgments, a lack of information, or ambiguous meanings in criteria and assessments. Conflicting criteria and uncertain information create complexity in preference modelling and decision analysis. From our literature reviews and discussions at academic conferences and with practitioners, it is evident that dealing with such decision problems under uncertainty continues to pose a significant challenge and has attracted much attention in recent years.This project is proposed to investigate theoretical issues in the above area and is divided into three work packages. The first one is to investigate evidential reasoning based preference programming models and algorithms to handle approximate value judgements represented by intervals or subjective distributions. The second work package is to explore a gradient projection based interactive process for performance analysis by integrating multiple objective optimisation with data envelopment analysis. The third work package is to study theoretical issues related to the consistency and complexity of the gradient projection based interactive process in eliciting preference information and in generating the most preferred solutions.
|
|
Key Findings |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Potential use in non-academic contexts |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Impacts |
|
| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
|
| Date Materialised |
|
|
|
|
Sectors submitted by the Researcher |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
| Project URL: |
|
| Further Information: |
|
| Organisation Website: |
http://www.man.ac.uk |