Research On Linguistic Assessment Information Aggregated Models Based On Grey Decision-making With Application

Decision-making is a conscious and selective action process that people do to achieve a certainpurpose or to complete a certain task. In the actual decision-making process, the environment iscomplex and the information is rapidly changing. In order to make a scientific and reasonabledecision, the wisdom of group is more required, as well as improving decision-making technologywhen fully gathering and using information. At present, the domestic and overseas scholars haveobtained many achievements about decision-making techniques and methods of groupdecision-making in certainty condition. However, there is still a lack of theoretical system for underuncertainty group decision-making problems based on linguistic information. The relevant domesticresearch is at the stage of exploration currently. The systematic research on under uncertainty groupdecision-making problems based on linguistic information is urgently needed, also has its practicalsignificance. This paper researches on linguistic-information-oriented model about groupdecision-making. Main innovations of this paper are described as follows:(1) This paper has researched on the information quality analysis model of linguistic assessmentbased on quantitative and qualitative changes and information estimated model about incompleteinformation. In the decision-making process of complicated problems, the distribution and structure ofthe decision group and the decision environment become more and more complex, so the assessmentdecision-making information increasingly shows a spotty feature due to the huge scale, complexsources and diverse channels. Based on these factors, i.e. the characteristics of the linguisticassessment information, the law of things development and the judgment quality of decision makers,this paper proposes a new solution to quality analysis of uncertain linguistic assessment informationbased on quantitative and qualitative changes. In order to help decision makers excavating the qualityof decision-making information sufficiently, this paper also represent a judgment method ofquantitative and qualitative changes at different stages. What’s more, this paper raises a method todetermine the weight of decision makers under multi-stage assessment information, which enhancesthe effectiveness of dynamic decision-making about the linguistic assessment information andimproves the group decision-making theory and method based on linguistic assessment informationquality reasoning.(2) This paper has studied aggregation model of multi-stage linguistic assessment informationbased on grey incidence degree. With fully discussing the characteristics of multi-stage linguistic assessment information and combining the potential trends and development of evaluated things ineach decision-making stage, a judgment method is presented to analyze whether mutation happenedduring assessment. In this paper, a model of time weight determination based on grey correlationtheory is built about multi-stage group decision-making problems linguistic assessment information.According to minimizing group differences theory, this paper represents an aggregation method ofmulti-stage linguistic assessment information.(3) This paper proposes an aggregation model of large scale group decision-making based ongrey incidence degree. Studying large scale group cluster methods and combining the grey relevanceclustering method, this paper classifies the large scale group into reasonable groups to make it easierto coordinate the large group. According to the difference of decision-maker groups, a method isdiscussed in this paper to determine decision makers’ weights in respective group. Also, this papermeasures the general preferences for each group and presents a method to confirm the core decisionmakers. With the model of the weights determination among groups, a group preferences aggregationmodel is proposed based on minimizing group decision differences.(4) This paper has researched on linguistic assessment information grey target decision-makingclassify model based on case study. According to the correspondence between natural language andfuzzy number, using common natural linguistic assessment information and combining the inverseproblem of grey target decision-making clouts setting, this paper represents clouts setting and fixingmethod in linguistic grey target decision-making process. To maximize the conformity of the case,this paper builds a multi-attribute decision-making classify model based on fuzzy clouts distance,considering the critical value constraint of classification about the distance between two clouts and theindex weight constraint caused by decision makers. Because of the fuzzy comparison based on cloutsdistance, it is clear that this model can easily show the population deviation and the deviation of eachscheme.(5) This paper has applied the assessment method above into the selection assessment of largeaircraft supplier. According to the characteristics of the selection of large aircraft supplier, this paperpresents a selection assessment method system. What’s more, this paper researches on actual largeaircraft supplier selection assessment through the group decision-making method of linguisticassessment information. This promotes the development of the theory and practical application ofdecision-making methods and models. We are sure that it makes beneficial exploration on how tosolve uncertain linguistic information decision-making problems under this circumstance.