A quantitative approach to reasoning about incomplete knowledge-Reference-Cited by-同舟云学术

A quantitative approach to reasoning about incomplete knowledge

Published:2018-07 Issue: Volume:451-452 Page:100-111
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

She Yanhong,He Xiaoli,Qian Yuhua,Xu Weihua,Li Jinhai

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference26 articles.

1. Handbook of Logic in Computer Science;Abramsky,1992

2. The Description Logic Handbook: Theory Implementation and Applications.;Baader,2003

3. A Simple Modal Logic for Reasoning About Revealed Beliefs//Symbolic and Quantitative Approaches to Reasoning with Uncertainty;Banerjee,2009

4. A simple logic for reasoning about incomplete knowledge;Banerjee;Int. J. Approx. Reason.,2014

5. Possibilistic vs. Relational Semantics for Logics of Incomplete Information//Information Processing and Management of Uncertainty in Knowledge-Based Systems;Banerjee,2014

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