Title: Heuristic and fuzzy scheduling synergy with knowledge acquisition of resource selection system development for home healthcare service

Authors: Thepparit Sinthamrongruk; Keshav Dahal; Jirawit Yanchinda

Addresses: Artificial Intelligence, Visual Communication and Networks (AVCN), University of the West of Scotland, Paisley, UK ' Artificial Intelligence, Visual Communication and Networks (AVCN), University of the West of Scotland, Paisley, UK ' College of Arts, Media and Technology, Chiang Mai University, Huaykeaw Rd, Chiang Mai, 50200, Thailand

Abstract: Home healthcare service provides daily medical services at patients' homes. The service aims to satisfy the patients' requirements which must be done by qualified staff visiting them at the right time. This paper proposes a new framework integrating the heuristic search and fuzzy logic with knowledge acquisition to develop reliable and effective decision to match qualified staff to offer the service with the minimum cost, under preference consideration and feasible time-slots. The framework is designed based on the hierarchical approach dividing the system into two layers: high and low level. The high level is responsible for retrieving information, such as patients' locations and operation cost while the lower level with fuzzy logic to estimate a set of the level of staff selection to create the service plan. Our empirical study of 40 medical tasks with eight carers shows that the framework has a potential to provide improved solutions than the original.

Keywords: resource selection; homecare service; fuzzy logic; heuristic search; knowledge engineering.

DOI: 10.1504/IJASM.2018.094302

International Journal of Agile Systems and Management, 2018 Vol.11 No.3, pp.247 - 269

Received: 24 Apr 2017
Accepted: 23 Mar 2018

Published online: 22 Aug 2018 *

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