Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Birmingham : A - Electronic, Electrical and computer engineering
Return to search
Output 0 of 0 in the submission
Article title
A new fuzzy set merging technique using inclusion-based fuzzy cluttering
Type
D - Journal article
Title of journal
IEEE Transactions on Fuzzy Systems
Article number
-
Volume number
16
Issue number
1
First page of article
145
ISSN of journal
1063-6706
Year of publication
2008
URL
-
Number of additional authors
2
Additional information
This paper describes an advancement of theoretical knowledge and understanding in the field of data mining and fuzzy reasoning. It demonstrates a new mathematical model of rule based simplification through a modification of standard fuzzy c-means algorithm by incorporating an inclusion based measure to common metric distance. The paper is a joint work between Birmingham, Salford and Rotterdam Universities. This work has been employed as a basis for an EU project led by Prof Kaymak in the field of nature-inspired smart information system as well in finance sector. It also initiated a number of PhD projects.
Interdisciplinary
-
Cross-referral requested
-
Research group
B - Human Computer Interaction
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-