Abstract
The present paper focuses on a resolution-based automated reasoning theory in a lattice-valued logic system with truth-values defined in a lattice-valued algebraic structure - lattice implication algebras (LIA) in order to handle automated deduction under an uncertain environment. Particularly, as a continuation and extension of the established work on binary resolution at a certain truth-value level a (called a-resolution), a non-clausal multi-ary a-generalized resolution principle and deduction are introduced in this paper for a lattice-valued first-order logic LF(X) based on LIA, which is essentially non-clausal generalized resolution avoiding the reduction to normal clausal form. Non-clausal multi-ary a-generalized resolution deduction in LF(X) is then proved to be sound and complete. The present work is expected to provide a theoretical foundation of more efficient resolution based automated reasoning in lattice-valued logic.
Original language | English |
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Title of host publication | Proceedings - The 2015 10th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-7 |
Number of pages | 7 |
ISBN (Electronic) | 9781467393225 |
DOIs | |
Publication status | Published (in print/issue) - 13 Jan 2016 |
Event | 10th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2015 - Taipei, Taiwan, Republic of China Duration: 24 Nov 2015 → 27 Nov 2015 |
Publication series
Name | Proceedings - The 2015 10th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2015 |
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Conference
Conference | 10th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2015 |
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Country/Territory | Taiwan, Republic of China |
City | Taipei |
Period | 24/11/15 → 27/11/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Automated reasoning
- Lattice implication algebra
- Latticevalued logic
- Non-clausal multi-ary - generalized resolution
- Resolution principle