- Title
- A fuzzy genetic algorithm for healthcare staff scheduling
- Creator
- Mutingi, Michael, Mbohwa, Charles
- Subject
- Healthcare staff scheduling, Fuzzy-based genetic algorithm, Fuzzy sets
- Date
- 2013
- Type
- Article
- Identifier
- uj:6172
- Identifier
- ISBN 978-93-82242-26-0
- Identifier
- http://hdl.handle.net/10210/13779
- Description
- In the presence of multiple conflicting objectives and constraints, healthcare staff scheduling is complex. This research presents a fuzzy-based genetic algorithm (FGA) for handling multiple conflicting objectives and constraints common in healthcare manpower scheduling problems. Fuzzy set theory is used for genetic evaluations of alternative staff schedules by representing the fitness of each alternative solution as a fuzzy membership functions. The proposed FGA framework is designed to incorporate the often imprecise decision maker’s preferences and choices in terms of weights. The framework is also designed to provide a population of alternative solutions for the decision maker, rather than prescribe a single decision. It is anticipated that the FGA procedure forms a useful decision support tool for healthcare staff scheduling in a fuzzy environment with multiple conflicting objectives and constraints.
- Publisher
- International Conference on Law, Entrepreneurship and Industrial Engineering
- Rights
- International Conference on Law, Entrepreneurship and Industrial Engineering
- Full Text
- Hits: 1595
- Visitors: 1447
- Downloads: 286
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | CONTENT1 | PDF Document | 572 KB | Adobe Acrobat PDF | View Details Download | ||
| View Details Download | MODS | MODS Metadata | 3 KB | XML Document | View Details Download |