Research On Interactive Group Evaluation Method Under Uncertain Linguistic Information

In the real life,there are a large number of linguistic evaluation problems,that is,the decision maker gives linguistic evaluation information(such as good,medium,bad,et al)to get the rank of object.Compared with individual evaluation,group evaluation can contain more evaluation information and obtain a more accurate result,therefore,the application of group evaluation is more wide.So far,the research on linguistic group evaluation method have yielded fruitful results.However,these results are mostly limited to study group evaluation based on linguistic information and group evaluation method based on uncertain linguistic information is few.in addition,the cognition of the objective things often follow form the shallower to the deeper,and the decision maker need to revise the evaluation information in the process of evaluation.In view of this situation,this paper extends traditional linguistic group evaluation problems and proposes some new interactive group evaluation methods based on uncertain linguistic information.This paper refers to some existing literature and theoretical productions at home and abroad,and gives some new interactive group evaluation methods based on uncertain linguistic information,the main work is as follows:(1)The cloud model is used to interactive group evaluation problems,and we have a deeply study on interactive group evaluation problems and have enrich interactive group evaluation method.We have a discussion on the weight of the decision maker and aggregate the group evaluation information by using the advantage of interval cloud weighted arithmetic averaging operator.We have a study on the problem of interactive termination and give the concordance index and the stability index to avoid the infinite interaction.We define a interval cloud order weighted averaging operator to consider the multistage evaluation information and aggregate it.(2)The multi-granularity uncertain linguistic information is introduced to interactive group evaluation problems,and we have extend the traditional interactivegroup evaluation method so that we overcome the onerous conditions of the interactive evaluation value is quantitative information and enhance the applicability of interactive group evaluation.We give a new method to make the multi-granularity uncertain linguistic information convert into the single-granularity uncertain linguistic information,and make up the research on multiplicative multi-granularity linguistic transformation function.We propose a new interactive group evaluation method that the quality of evaluation information is considered and the influence of bad evaluation information is avoided.We define the I-UPLHGA and I-UPLHHA operator,and use them into interactive group evaluation problems based on multi-granularity uncertain linguistic information.(3)Aimming at the problem that the single stage large-scale group evaluation information is alike,we propose a new method that can make a good cluster for large-scale group evaluation information.We use the TULDWAA operator to aggregate the single stage evaluation information,because it not only can use the advantage of the ULWA operator,but also can consider the distribution's density of evaluation information.We give a new method of the density weight that can contain the quality and quantity of evaluation information,the method can consider the density of data and avoid getting different evaluation value as different cluster.We define a new index of group consensus that can obtain the weight of multistage evaluation information and get a reasonable and acceptable result.We extend the ULWA operator and give the I-ULWA operator to aggregate multistage evaluation information.