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Learning Bayesian Network to Predict Group Emotion in Kindergarten by Evolutionary Computation Read chapter Read first chapter

2018 | OriginalPaper | Chapter

A Fuzzy Ordered Weighted Averaging Approach to Rerostering in Nurse Scheduling Problem

Authors : Svetlana Simić, Dragan Simić, Dragana Milutinović, Jovanka Đorđević, Svetislav D. Simić

Published in: International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding

Publisher: Springer International Publishing

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Abstract

Medical staff performance and staff scheduling represent a significant determinant of public healthcare quality where the cost effectiveness is required from hospitals. There are two cases regarding the nurse scheduling problem, the static and dynamic. Dynamic nurse scheduling problem, often called nurse rerostering problem, which presents reconstruction or modification of the predetermined roster for the current scheduling horizon. This paper is focused on a new strategy of hybrid approach based on fuzzy ordered weighted averaging empirical model for detecting the best solution in nurse rerostering problem. The model is tested with original real-world dataset obtained from the Oncology Institute of Vojvodina in Serbia.

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previous chapter Acquisition and Fuzzy Processing of Physiological Signals to Obtain Human Stress Level Using Low Cost Portable Hardware
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Metadata
Title
A Fuzzy Ordered Weighted Averaging Approach to Rerostering in Nurse Scheduling Problem
Authors
Svetlana Simić
Dragan Simić
Dragana Milutinović
Jovanka Đorđević
Svetislav D. Simić
Copyright Year
2018
Book
International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding

Print ISBN: 978-3-319-67179-6

Electronic ISBN: 978-3-319-67180-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67180-2_8

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