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
Zhou S-M
(2008)
On Properties of Type-1 OWA Operators in Aggregating Uncertain Information for Soft Decision Making
in Proceedings of IPMU'08
Zhou S
(2021)
Type-1 OWA Operators in Aggregating Multiple Sources of Uncertain Information: Properties and Real-World Applications in Integrated Diagnosis
in IEEE Transactions on Fuzzy Systems
Zhou S
(2010)
On aggregating uncertain information by type-2 OWA operators for soft decision making
in International Journal of Intelligent 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
Zhou S
(2008)
Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by type-2 linguistic quantifiers
in Fuzzy Sets and Systems
Shang-Ming Zhou
(2009)
On Constructing Parsimonious Type-2 Fuzzy Logic Systems via Influential Rule Selection
in IEEE Transactions on Fuzzy Systems
Herrera-Viedma E
(2007)
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
in IEEE Transactions on Fuzzy Systems
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 |