Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-20 Cooperative journals: 《计算机应用研究》
Abstract: For multi-attribute group decision-making(MAGDM) problem, this study use Pythagorean fuzzy linguistic numbers as input information which can make decision maker evaluate the options effectively with more flexible values. First, Pythagorean fuzzy linguistic distance measure based on the distance measure for Pythagorean fuzzy sets and linguistic sets was created and its properties were also given. Then, by using this distance measure in power average operator , the Pythagorean fuzzy linguistic power weighted average (PFLPWA) operator was created to aggregate a collection of Pythagorean fuzzy linguistic numbers (PFLNs) , and the differences of the decision makers were considered in this aggregation process. Finally, a group decision making method on the basis of PFLPWA operator was built and a numerical example was given to demonstrate its effectiveness and feasibility;
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-18 Cooperative journals: 《计算机应用研究》
Abstract: In order to improve the accuracy and efficiency of customer churn prediction of railway scattered freight, according to the loss characteristics of railway scattered freight customers, proposed a customer churn identification method based on CDL model. On this basis, facing the problem of big data, proposed a C4.5 decision tree customer churn prediction model based on Hadoop parallel framework. Simulation results show that the model has good accuracy and predictive ability, and as the number of samples increases, the efficiency of Hadoop parallel framework is obviously improved, and the accuracy and prediction ability of churn prediction model are not affected.