@article{(Open Science Index):https://publications.waset.org/pdf/10004494,
	  title     = {Towards Developing a Self-Explanatory Scheduling System Based on a Hybrid Approach},
	  author    = {Jian Zheng and  Yoshiyasu Takahashi and  Yuichi Kobayashi and  Tatsuhiro Sato},
	  country	= {},
	  institution	= {},
	  abstract     = {In the study, we present a conceptual framework for developing a scheduling system that can generate self-explanatory and easy-understanding schedules. To this end, a user interface is conceived to help planners record factors that are considered crucial in scheduling, as well as internal and external sources relating to such factors. A hybrid approach combining machine learning and constraint programming is developed to generate schedules and the corresponding factors, and accordingly display them on the user interface. Effects of the proposed system on scheduling are discussed, and it is expected that scheduling efficiency and system understandability will be improved, compared with previous scheduling systems.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {10},
	  number    = {6},
	  year      = {2016},
	  pages     = {964 - 967},
	  ee        = {https://publications.waset.org/pdf/10004494},
	  url   	= {https://publications.waset.org/vol/114},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 114, 2016},