Research On Group Identification Method For Features Of Match Better Conforming To The Rules Based On2-tuples Linguistic Information Processing

Summarizing the human evolution progress, it is not difficult to find that society develop and make process as people actively exploring and acting in accordance with evolution rules. The thought of match better conforming to the objective rules claims that people should explore and utilize objective rules actively and perform excellently based on the cognition of the rules. Nowadays, the research of group identification method reflecting the thought of match better conforming to the rules has just started, and mainly for the value of indicators is exactly numerical (crisp) data.However, in real life, due to the complexity of things and the fuzziness of human subjective thoughts, decision makers often use linguistic assessment information to express their preference information. In general, linguistic assessment information can’t directly operate and need to be processed. Currently existing language information processing method is divided into three categories:based on fuzzy sets and extended sets computation; based on linguistic symbol operators; based on2-tuples linguistic information processing. Comparative advantages and disadvantages of the three processing methods and found that2-tuples linguistic information processing has great advantages in dual processing model and the loss of information, is better suited for linguistic assessment information. Therefore, it is of great significance to study group identification method for features of match better conforming to the rules based on2-tuples linguistic information processing in theory and practical applications.For this purpose, this paper analysis and study group identification method for features of match better conforming to the rules based on2-tuples linguistic information processing under the guidance of thought of match better conforming to the rules. The main content is summarized as follows:Chapter one is introduction. In this chapter the research background, purpose and meaning, main work and method are introduced; moreover, the point of innovation is also given. Chapter two is literature review and it’s the theoretical basis of the paper. In this chapter linguistic assessment information and its processing method, group identification method for features of match better conforming to the rules are reviewed, and some enlightenment on this paper is proposed.Chapter three designs group identification method for features of match better conforming to the rules based on2-tuples linguistic information processing and it’s the focus of the full-text content. This chapter firstly introduce the conception and aggregation operators of2-tuple; secondly, the thought of match better conforming to the objective rules is introduced and then put forward group identification process for features of match better conforming to the rules based on2-tuples linguistic information processing; finally, according to the single and hierarchical structure evaluation indicator system, group identification method for features of match better conforming to the rules based on2-tuples linguistic information processing is built up; evaluation from the view of most beneficial to behavioral subjects according to the opinions of each observer win the parameter structure of the reference objects’individual advantages, through the "behavior patterns extraction" dig out the common views of groups, the overall level of assessment used to measure groups by reviewers satisfaction with the results of group identification process for features of match better conforming to the rules.Chapter four is an application. Combined with the existing evaluation index system of enterprise culture, group identification method for features of match better conforming to the rules based on2-tuples linguistic information processing is illustrated with Cheng Tong Metal Co., Ltd., Shenyang as an appraisal object.Finally, the dissertation draws a conclusion, summarizes the research fruits. On the basis of the above, some suggestions on future research are put forward.