NDLI: Application of hybrid logic in inference of Knowware System

Content Provider	IEEE Xplore Digital Library
Author	Sio-Long Lo Li-Ya Ding Yuan Chen
Copyright Year	2010
Description	Author affiliation: Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macau SAR, China (Sio-Long Lo; Li-Ya Ding; Yuan Chen)
Abstract	Handling of uncertainty has been an important topic discussed in the community of intelligent techniques and soft computing. It is necessary to represent human knowledge and modeling its uncertainty when developing an intelligent system. There are various types of uncertainty in the real world, and randomness and fuzziness are of two basic kinds. How to handle these two kinds of uncertainties appearing simultaneously in a system is a main task of intelligent system development. The Knowware System (KWS) has been developed as an intelligent tool for modeling and development of knowledge-based system (KBS). It is to support application developers in constructing customized hybrid intelligent system without the necessity of being familiar with relevant AI techniques. Modeling and processing uncertainty of different types has its significance for further enhancement of KWS mechanism to better support real applications. In this paper, we will present the modeling of KBS with possible uncertainty and the propose handling hybrid uncertainty in inference of KWS, which includes randomness and fuzziness, based on the hybrid logic and chance theory.
Starting Page	1078
Ending Page	1083
File Size	144947
Page Count	6
File Format	PDF
ISBN	9781424465262
e-ISBN	9781424465279
DOI	10.1109/ICMLC.2010.5580950
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Cognition Knowledge based systems Machine learning Cybernetics Rain Credibility theory Knowware system Hybrid logic Randomness Fuzziness Chance theory
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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