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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mohamed, A. Hagras, H. Liret, A. Shakya, S. Owusu, G. |
| Copyright Year | 2013 |
| Description | Author affiliation: Bus. Modeling & Operational Transformation Practice, British Telecom, Ipswich, UK (Liret, A.; Shakya, S.; Owusu, G.) || Comput. Intell. Centre, Univ. of Essex, Colchester, UK (Mohamed, A.; Hagras, H.) |
| Abstract | Within service providing industries, one of the challenges facing resource planners is to match the demand for services by trying to utilize the available resources as best as possible. The problem faced by the operational resource planner is to build a refined plan of tasks to resources for each day in a manner that the plan can be directly dispatched to the distributed available engineering field force. In this paper, we will introduce a genetic hierarchical interval type-2 fuzzy logic based operational planner. We will present experiments which will show that the proposed system is able to produce more efficient plans when compared to the traditional crisp logic based algorithms which employ hill climbing heuristic based search techniques. We will show also that the proposed system outperforms the type-1 fuzzy logic based counterparts. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 1062306 |
| Page Count | 8 |
| File Format | |
| ISSN | 10987584 |
| e-ISBN | 9781479900220 |
| DOI | 10.1109/FUZZ-IEEE.2013.6622341 |
| 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 | Fuzzy logic Planning Genetic algorithms Fuzzy sets Uncertainty Heuristic algorithms Genetics service providers type-2 fuzzy logic systems hierarchical fuzzy logic systems operational resource planning |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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