CAJ | 학술논문

信息技术的不断革新与计算机水平的不断提高稳固了移动终端的市场地位。手机、平板等智能终端早已成为人们工作生活的“密友”。满足移动终端用户个性化的需求，高效的海量数据收集处理，是移动终端的智能引擎研究的意义所在。文中主要利用Random Set ( RS)对Dempster-Shafer ( D-S)理论进行改进，简称为RDS模型并验证了对证据理论的证据源模型与合成框架做的修改，可以降低焦元爆炸的概率，提高本地推理的正确率，进而优化移动智能引擎的推理机制，实现个性化的服务推荐等更多平台化服务。
신식기술적불단혁신여계산궤수평적불단제고은고료이동종단적시장지위。수궤、평판등지능종단조이성위인문공작생활적“밀우”。만족이동종단용호개성화적수구，고효적해량수거수집처리，시이동종단적지능인경연구적의의소재。문중주요이용Random Set ( RS)대Dempster-Shafer ( D-S)이론진행개진，간칭위RDS모형병험증료대증거이론적증거원모형여합성광가주적수개，가이강저초원폭작적개솔，제고본지추리적정학솔，진이우화이동지능인경적추리궤제，실현개성화적복무추천등경다평태화복무。
The information technology innovation and the computer level enhancement consolidate the level of stable mobile terminal mar-ket position ceaselessly. Mobile phones,PPC and other intelligent terminals have been friends to users’ life and work. To meet the person-alized requirements of users,efficient mass data collection and handling from mobile terminals are of significance to the mobile terminal intelligent engine. Random Set ( RS) theory is applied in Dempster-Shafe ( D-S) theory in the approach,RDS for short,is proved that it can lower the probability of focal elements explosion and improve the accuracy of local reasoning to optimize the reasoning mechanism of mobile terminal intelligent engine and realize service recommendation or other personalized services from the platform of mobile terminal intelligent engine through the modification of evidence of the source model and synthetic framework.