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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chee Kau Lim Chee Seng Chan |
| Copyright Year | 2013 |
| Description | Author affiliation: Centre of Image & Signal Process., Univ. of Malaya, Kuala Lumpur, Malaysia (Chee Kau Lim; Chee Seng Chan) |
| Abstract | Recently, Bandler-Kohout (BK) subproduct based reasoning scheme has been a popular choice in various kind of applications. In this paper, we aim to enhance the BK subproduct based reasoning schemes in two aspects: (1) Extend the BK subproduct in term of Interval Type-2 Fuzzy Sets (IT2FS) instead of the ordinary Type-1 Fuzzy Sets (T1FS), and (2) Introduce weight parameter to the reasoning scheme. Firstly, studies have shown that IT2FS have better capability in handling data with uncertainty compare to the ordinary T1FS. Thus, we extend the BK subproduct in terms of IT2FS theory where subsethood measure based on the fuzzy implication operators for the IT2FS has been developed. Secondly, weight parameter associated to each features is introduced to form a weighted inference scheme with the BK subproduct. The introduction of the weight parameter is to aid in distinguishing the influence of different features in the reasoning process. In here, the Linguistic Weighted Average (LWA) is adopted to solve the outputs of this weighted reasoning scheme. Finally, a case study is employed to demonstrate the capability of the proposed approach. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 491311 |
| Page Count | 8 |
| File Format | |
| ISSN | 10987584 |
| e-ISBN | 9781479900220 |
| DOI | 10.1109/FUZZ-IEEE.2013.6622368 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-07 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cognition Fuzzy sets Engines Uncertainty Diseases Upper bound Q measurement fuzzy subsethood measure BK subproduct weighted inference engines interval type-2 fuzzy sets |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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