| In real life,people always evaluate something by using their experience which makes the evaluation information has characteristics of fuzziness.The difference between processing linguistic-valued information and processing numerical information is that the linguistic-valued information is imprecise,hence,there will exist information loss during the computational processing which means the deviation from the precise result.Reducing the information loss as much as possible in artificial processing to get close to the expression of human language and evaluation results has a crucial meaning,which is our pursue during the whole time.This paper discusses the reasoning evaluation approaches based on the linguistic-valued intuitionistic fuzzy lattice implication algebra and the main production is contained as follows:Firstly,we propose a reasoning evaluation approach of linguistic-valued intuitionistic fuzzy layered aggregation.Based on the layered linguistic-valued intuitionistic fuzzy lattice,we realize aggregating the linguistic-valued information through the layered average aggregation(LAA)operator and the layered weighted average aggregation(LWAA)operator presented by us.Combining the multiple multi-dimensional fuzzy reasoning model,a reasoning evaluation model based on the linguistic-valued layered intuitionistic fuzzy lattice which simulates the reasoning of human language is presented and the examples are used to illustrate the method’s rationality and validity.Secondly,we propose a multiple multi-dimensional reasoning method of linguistic-valued intuitionistic fuzzy 2-tuple.Aiming at the problem of information loss in the linguistic-valued reasoning,based on the intuitionistic fuzzy sets and linguistic-valued intuitionistic fuzzy 2-tuple representation model,we translate the multiple multi-dimensional fuzzy reasoning method into 2-tuple and propose the intuitionistic fuzzy approach which aggregate rules at first then reasoning.Utilizing this method to evaluate the ability of psychological adjustment of college studentscan reduce the linguistic-valued information loss effectively.Finally,we establish a system of the flipped classroom artificial learning evaluation based on the linguistic-valued intuitionistic fuzzy reasoning.We propose the index system of flipped classroom artificial learning evaluation by reading literatures.A layered aggregation2-tuple reasoning model is established by combining the reasoning evaluation method of layered aggregation and the multiple multi-dimensional reasoning method of 2-tuple.We also provide the algorithm of it which realizes the flipped classroom learning evaluation of positive aspects and negative aspects under the environment of the linguistic-valued.The method can aggregate the linguistic-valued evaluation information and reduce the information loss of the flipped classroom learning evaluation at the same time and obtain the analysis result which is rational and effective. |
