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A Learning Method based on Bisimulation in Inconsistent Knowledge Systems

Nguyen, Thi Hong Khanh and Tran, Trong Hieu and Ha, Quang Thuy (2018) A Learning Method based on Bisimulation in Inconsistent Knowledge Systems. In: 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018, 18-21 November 2018, Singapore.

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Inconsistencies may naturally occur in the considered application domains in Artificial Intelligence, for example as a result of data mining works in distributed sources. In order to solve inconsistent knowledge, several paraconsistent description logics have been proposed. In this paper, we face the problem of learning concept for inconsistent knowledge base system based on bisimulation. This algorithm allows learning a concept from a training information system in paraconsistent descriptive logic system with a set of positive items, negative items and inconsistent items. Here, we present a system for learning concept in inconsistent knowledge base and discuss preliminary experimental results obtained in the electronic application domain.

Item Type: Conference or Workshop Item (Paper)
Subjects: Information Technology (IT)
Divisions: Faculty of Information Technology (FIT)
Depositing User: Dr. Trọng Hiếu Trần
Date Deposited: 03 Jun 2019 03:54
Last Modified: 03 Jun 2019 03:54

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