To overcome the defect of the traditional method to determine attribute weight in the multiple attribute decision making problems, this paper proposed a kind of data fusion method based on The D-S Evidence Theory improved by The Grey Correlation Analysis. The method, firstly, calculated the basic probability assignment functions discount factor based on The Grey Correlation Analysis, then let the subjective weight and objective weight together based on D-S combination rules in order to avoid the deficiency of the single weighting method. Using the fusion of evaluation indexs subjective and objective weight of mobile phone product solution as an example, the results show that the proposed method is effective.
Traditional methods such as scoring method, Likert scale method, etc, suffer from uncertainness, randomness and inaccuracy. To solve these problems, a cloud model is presented in this paper. Based on fuzzy mathematics and statistics, the cloud model can convert the qualitative evaluation of the product to quantitative scores. It’s a better way to overcome the disadvantages of direct scoring method that cause more inaccuracies. A prouct satisfaction evaluation model with three dimensions (i.e., evaluation index, product sets and estimator) is then constructed, which combines the cloud model and the grey relational analysis. Finally, the effectivity of the presented model is demonstrated by a case study.
With the rapid development of the power system, the real-time monitoring of the transmission line state becomes more and more important. Due to the feature of wireless sensor network, a new scheme of monitoring system for transmission line state is proposed. The modular design method is used to choose appropriate modules for setting up the monitoring system, which realizes the real-time temperature, humidity, light, atmospheric pressure on the transmission line. The reliability and practicability is proved by the experiments.
This paper makes the historical data which customers bought the products as the foundation, and suggests a method of personalized product design knowledge acquisition based on knowledge reduction and knowledge mining. Firstly, the core matrices of each specific customer group were taken as the decision variables of the decision table based on the key customer segmentation. Secondly, the knowledge reduction algorithm of Skowron discernibility matrix was use to acquire the product design information by reducing the decision table, and deleting the redundant and even product matrices that are not necessary. Thirdly, the product design information was taken as the initial data of knowledge mining, and the product design knowledge of specific customer group was obtained by a classification consistency algorithm. Finally, the stroller experimental design was taken as a case study by online interaction based on Web technology, and the conclusion of the study showed that the method was feasible.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.