Towards a Framework for Modelling Variation in Automated Decision Support
Lead Research Organisation:
De Montfort University
Department Name: School of Computing
Abstract
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Organisations
Publications
Alonso S
(2008)
Uncertainty and Intelligent information Systems
Alonso S.
(2006)
A Decision Aid System to Provide Consistent Linguistic Preference Relations
in 6th International Conference on Recent Advances in Soft Computing (RASC 2006)
Chiclana F
(2008)
Tackling Incomparability of Fuzzy Preferences Using Self-dual Uninorms
in Proceedings of IPMU'08
Chiclana F
(2009)
Cardinal Consistency of Reciprocal Preference Relations: A Characterization of Multiplicative Transitivity
in IEEE Transactions on Fuzzy Systems
Garibaldi JM
(2012)
Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models.
in Journal of biomedical informatics
Herrera-Viedma E
(2007)
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
in IEEE Transactions on Fuzzy Systems
Shang-Ming Zhou
(2009)
On Constructing Parsimonious Type-2 Fuzzy Logic Systems via Influential Rule Selection
in IEEE Transactions on Fuzzy Systems
Zhou S
(2011)
Alpha-Level Aggregation: A Practical Approach to Type-1 OWA Operation for Aggregating Uncertain Information with Applications to Breast Cancer Treatments
in IEEE Transactions on Knowledge and Data Engineering
| Description | This grant developed new aggregation methods for combining experts opinions that differ particularly in breast cancer treatment. The methods use fuzzy logic to model the uncertainty in the decision making process. |
| Exploitation Route | These new operations can be used in many domains where there are multiple experts. |
| Sectors | Aerospace, Defence and Marine,Healthcare,Manufacturing, including Industrial Biotechology |
| Description | They have been used by us in helping explore how experts make decisions in breast cancer treatment |
| First Year Of Impact | 2008 |
| Sector | Healthcare |
| Impact Types | Societal |