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Resolution in Linguistic Propositional Logic Based on Linear Symmetrical Hedge Algebra

  • Thi-Minh-Tam NguyenEmail author
  • Viet-Trung Vu
  • The-Vinh Doan
  • Duc-Khanh Tran
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 244)

Abstract

The paper introduces a propositional linguistic logic that serves as the basis for automated uncertain reasoning with linguistic information. First, we build a linguistic logic system with truth value domain based on a linear symmetrical hedge algebra. Then, we consider Gödel’s t-norm and t-conorm to define the logical connectives for our logic. Next, we present a resolution inference rule, in which two clauses having contradictory linguistic truth values can be resolved. We also give the concept of reliability in order to capture the approximative nature of the resolution inference rule. Finally, we propose a resolution procedure with the maximal reliability.

Keywords

Conjunctive Normal Form Logical Connective Resolution Procedure Empty Clause Maximal Reliability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Thi-Minh-Tam Nguyen
    • 1
    Email author
  • Viet-Trung Vu
    • 2
  • The-Vinh Doan
    • 2
  • Duc-Khanh Tran
    • 2
  1. 1.Faculty of Information TechnologyVinh UniversityVinhVietnam
  2. 2.School of Information and Communication TechnologyHanoi University of Science and TechnologyHanoiVietnam

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