Research Of Intuitionistic Fuzzy Reasoning Method Based On Linguistic-valued Hesitancy Degree

How human beings come to know the world is an ongoing judgment process from simple to complex,from specific to abstract,from known to unknown.In everyday life,the stimulus that the out world imposes on human brain is actually human brain which processing various inaccurate,incomplete and fuzzy information(uncertain information).Everyday inference and judgement activities carried out by humans are also based on such uncertain information.With the continuous development of science and technology,humans have higher demands for computers.Not only better computing speed is required,but also stronger information storing and data processing.Certain degree of “intelligence” is requested as well,hoping computers can conduct inference,judgment and decision directly using human language.Therefore,based on linguistic truth-valued intuitionistic fuzzy lattice implication algebra,this article explores its reasoning methods.The main research results are as follows:To process fuzziness and incomparability associated with human's intelligent activities in the real world,a method for linguistic truth-valued intuitionistic fuzzy reasoning with truth-valued qualifications is proposed.This paper studies the conception and related properties of linguistic-valued hesitancy degree,and analyzes the operation process of linguistic-valued consistency degree and unconsistency degree.The model and algorithm of linguistic truth-valued intuitionistic fuzzy reasoning with truth-valued qualifications are given.And the reasoning method is applied to real life,with specific example to illustrate the rationality and validity of the algorithm.To reduce the information loss in the process of reasoning and increase the reasoning the credibility degree of the result,a method of credibility factors reasoning based on linguistic-valued hesitancy degree is proposed.The concepts and properties of the linguistic-valued truth credibility degree(LVTCD)and its inverse operator are discussed.The model and algorithm of credibility factors reasoning based on linguistic truth-valued intuitionistic fuzzy hesitancy degree are given.The method can express not only positive evidence,negative evidence and hesitancy evidence at the same time,but both comparable and incomparable information as well.Then the algorithm is applied to the decision-making,and it is implemented with program language.