α - Lock resolution method for a lattice-valued first-order logic

Xingxing He, Yang Xu, Jun Liu, Da Ruan

    Research outputpeer-review

    Abstract

    This paper focuses on resolution-based automated reasoning approaches in a lattice-valued first-order logic LF(X) with truth-values defined in a logical algebraic structure - lattice implication algebra (LIA), which aims at providing the logic foundation to represent and handle both imprecision and incomparability. In order to improve the efficiency of α-resolution approach proposed for LF(X), firstly the concepts of α-lock resolution principle and deduction are introduced for lattice-valued propositional logic LP(X) based on LIA, along with its soundness and weak completeness theorems. Then all the results are extended into LF(X) by using Lifting Lemma. Finally an α-lock resolution automated reasoning algorithm in LF(X) is proposed for the implementation purpose. This work provides a theoretical foundation for more efficient resolution-based automated reasoning algorithm in lattice-valued logic LF(X).

    Original languageEnglish
    Pages (from-to)1274-1280
    Number of pages7
    JournalEngineering Applications of Artificial Intelligence
    Volume24
    Issue number7
    DOIs
    StatePublished - Oct 2011

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Artificial Intelligence
    • Electrical and Electronic Engineering

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