A Scheduling Method Based on the Rent and Loan Information
Summary :
In everyday life, a situation often occurs wherein two or more persons with different personal schedules must determine a single job schedule. The authors focus on the practical concept of rent and loan and propose a scheduling system. This system generates a schedule that automatically coordinates with a state involving minimum rent and loan. They also propose a method that employs the analytic network process (ANP) for setting individual priorities based on the rent and loan information. Furthermore, the authors implement the proposed system as a simulation system and verify whether it generates a fair schedule by computing the sum of the rent and loan of different individuals. The result shows that in comparison with human scheduling, the proposed method generates a fairer schedule by computing the rent and loan of each individual.
- Publication
- IEICE TRANSACTIONS on Information Vol.E89-D No.2 pp.798-805
- Publication Date
- 2006/02/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e89-d.2.798
- Type of Manuscript
- PAPER
- Category
- Office Information Systems
Authors
Keyword
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Miki FUKUYAMA, Masatoshi SHIMAKAGE, Atsuo HAZEYAMA, "A Scheduling Method Based on the Rent and Loan Information" in IEICE TRANSACTIONS on Information,
vol. E89-D, no. 2, pp. 798-805, February 2006, doi: 10.1093/ietisy/e89-d.2.798.
Abstract: In everyday life, a situation often occurs wherein two or more persons with different personal schedules must determine a single job schedule. The authors focus on the practical concept of rent and loan and propose a scheduling system. This system generates a schedule that automatically coordinates with a state involving minimum rent and loan. They also propose a method that employs the analytic network process (ANP) for setting individual priorities based on the rent and loan information. Furthermore, the authors implement the proposed system as a simulation system and verify whether it generates a fair schedule by computing the sum of the rent and loan of different individuals. The result shows that in comparison with human scheduling, the proposed method generates a fairer schedule by computing the rent and loan of each individual.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.2.798/_p
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@ARTICLE{e89-d_2_798,
author={Miki FUKUYAMA, Masatoshi SHIMAKAGE, Atsuo HAZEYAMA, },
journal={IEICE TRANSACTIONS on Information},
title={A Scheduling Method Based on the Rent and Loan Information},
year={2006},
volume={E89-D},
number={2},
pages={798-805},
abstract={In everyday life, a situation often occurs wherein two or more persons with different personal schedules must determine a single job schedule. The authors focus on the practical concept of rent and loan and propose a scheduling system. This system generates a schedule that automatically coordinates with a state involving minimum rent and loan. They also propose a method that employs the analytic network process (ANP) for setting individual priorities based on the rent and loan information. Furthermore, the authors implement the proposed system as a simulation system and verify whether it generates a fair schedule by computing the sum of the rent and loan of different individuals. The result shows that in comparison with human scheduling, the proposed method generates a fairer schedule by computing the rent and loan of each individual.},
keywords={},
doi={10.1093/ietisy/e89-d.2.798},
ISSN={1745-1361},
month={February},}
Copy
TY - JOUR
TI - A Scheduling Method Based on the Rent and Loan Information
T2 - IEICE TRANSACTIONS on Information
SP - 798
EP - 805
AU - Miki FUKUYAMA
AU - Masatoshi SHIMAKAGE
AU - Atsuo HAZEYAMA
PY - 2006
DO - 10.1093/ietisy/e89-d.2.798
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2006
AB - In everyday life, a situation often occurs wherein two or more persons with different personal schedules must determine a single job schedule. The authors focus on the practical concept of rent and loan and propose a scheduling system. This system generates a schedule that automatically coordinates with a state involving minimum rent and loan. They also propose a method that employs the analytic network process (ANP) for setting individual priorities based on the rent and loan information. Furthermore, the authors implement the proposed system as a simulation system and verify whether it generates a fair schedule by computing the sum of the rent and loan of different individuals. The result shows that in comparison with human scheduling, the proposed method generates a fairer schedule by computing the rent and loan of each individual.
ER -
English
