| EPSRC Reference: |
GR/R55085/02 |
| Title: |
An Investigation into Non-Deterministic Fuzzy Reasoning |
| Principal Investigator: |
Garibaldi, Professor JM |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
School of Computer Science |
| Organisation: |
University of Nottingham |
| Scheme: |
Fast Stream |
| Starts: |
19 August 2002 |
Ends: |
18 August 2004 |
Value (£): |
62,312
|
| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Fundamentals of Computing |
|
| EPSRC Industrial Sector Classifications: |
|
| Related Grants: |
|
| Panel History: |
|
|
Summary on Grant Application Form |
|
The proposed research seeks to explore a novel concept in the design of fuzzy logic based expert systems. The aim is to establish a theory of 'nondeterministic' (time-variant or random) reasoning within the framework of a fuzzy expert system in order to simulate the known property of inconsistency that characterises human reasoning in expert domains, with specific reference to medical problems. The project begins with a re-examination of a previous validation study to obtain data for expert inconsistency in the domain of umbilical acid-base analysis. A theoretical model of, firstly, representing nondeterminism within fuzzy data structures and, secondly, of performing fuzzy inference with such non-deterministic structures will be established. This nondeterministic theory will then be implemented within a pre-existing fuzzy expert system for the analysis of umbilical acid-base balance. This will allow the theory to be evaluated by comparison with the existing fuzzy expert system and expert opinion. In the long term, the ultimate beneficiaries of this research will be the researchers, developers and manufacturers of fuzzy expert systems, particularly (but not necessarily exclusively) in the medical area. It is hoped that such a non-deterministic model could also have significant impact in the process of evaluating medical expert systems by allowing the system to be evaluated in comparison to human experts in a restricted form of 'Turing-test'.
|
|
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.nottingham.ac.uk |