A linguistic approach of knowledge representation with both negative and positive factors

Linguistic truth-valued intuitionistic fuzzy pairs can express fuzzy information with both positive side and negative side at the same time. In this paper, we construct a linguistic knowledge representation model using linguistic truth-valued intuitionistic credibility factors, which can express the positive evidence and the negative evidence in a rule with truth value and false value respectively. We give some essential reasoning operators for the linguistic knowledge representation model based on the linguistic truth-valued intuitionistic fuzzy lattice.