Research Of Uncertainty Reasoning Method Based On Linguistic Order Pair 3-Tuple Concept Lattice

With the rapid development of technology,the development of artificial intelligence is getting faster and faster.As the core research field of artificial intelligence,uncertainty reasoning plays an irreplaceable role in the development of artificial intelligence.Due to the fuzzy linguistic information model is close to the natural language of human beings,which the numerical value can't be compared when dealing with the uncertainty problem.Therefore,this paper combined the linguistic order pair 3-tuple with formal context,proposes an uncertainty reasoning model based on the linguistic order pair 3-tuple concept lattice.The main research results of this paper are shown as follows:Firstly,this paper proposes the linguistic order pair 3-tuple representation model based on linguistic 2-tuple,and some of its properties are studied.Then we give the similarity between linguistic order pair 3-tuples.Meanwhile,the linguistic ordered pair 3-tuple weighted average operator is discussed.In the process of decision making and reasoning,the initial data acquired are complex.In order to solve this problem,we construct the standardized transformation models of fuzzy sets,intuitionistic fuzzy sets,hesitant fuzzy sets,linguistic truth-valued intuitionistic fuzzy sets and linguistic order pair 3-tuple,respectively.Furthermore,the standardized transformation model is applied into pattern recognition combining with the similarity between linguistic order pair 3-tuples.Finally,the rationality of this method is illustrated by an example.The linguistic order pair 3-tuple representation model which expresses the information from the positive and negative sides can reduce the lack of information.Computer simulation of human thinking for reasoning is easier to recognize human natural language by using linguistic order pair 3-tuple representation model.This paper proposes the linguistic order pair 3-tuple formal context which combines the linguistic order pair 3-tuple with formal concept analysis.Then we transform the formal context,fuzzy formal context,linguistic-valued intuitionistic fuzzy formal context into linguistic order pair 3-tuple formal context based on the standardized transformation model.In order to weaken the subjectivity of the reasoning rules which are directly given by experts in the uncertainty reasoning,this paper studies the linguistic order pair 3-tuple formal decision context and its algorithm of rule acquisition.After that,we construct the linguistic order pair 3-tuple concept lattice reasoning model based on the rules acquired by linguistic order pair 3-tuple formal decision context.This method increases the reliability of linguistic order pair 3-tuple reasoning.Finally,the reasoning methods and steps based on linguistic order pair 3-tuple concept lattice are given.And the effectiveness of reasoning model is illustrated by an example.