文件名称:IPToolbox
介绍说明－－下载内容均来自于网络，请自行研究使用
这是一个国外的DST的Matlab工具箱，很全面的反映了dempster-shafer理论，是学习DST的权威工具箱-This is a foreign DST toolbox of Matlab, it is a comprehensive reflection of dempster-shafer theory, is to learn from the authority of DST Toolbox
(系统自动生成,下载前可以参看下载内容)
下载文件列表
IPToolbox
.........\Aggregation
.........\...........\dsdempstersrule.m
.........\...........\dswmix.m
.........\Core
.........\....\dsbel.m
.........\....\dsevalmc.m
.........\....\dsnorm.asv
.........\....\dsnorm.m
.........\....\dspl.m
.........\....\dsred.m
.........\....\dsstruct.asv
.........\....\dsstruct.m
.........\....\gaussiancopula.m
.........\Discretization
.........\..............\dsadf.m
.........\..............\dsconfsample.m
.........\..............\dsodf.asv
.........\..............\dsodf.m
.........\Examples
.........\........\dsexample.asv
.........\........\dsexample.m
.........\Measures
.........\........\dsaggunc.m
.........\........\dsavgwidth.m
.........\........\dsconf.m
.........\........\dsdissonance.m
.........\........\dsexpect.m
.........\........\dsnonspec.m
.........\Optimizers
.........\..........\dsbound.m
.........\..........\dsopt.m
.........\Plotting
.........\........\dscdf.m
.........\Sensitivity
.........\...........\dssensitivity.m
.........\Aggregation
.........\...........\dsdempstersrule.m
.........\...........\dswmix.m
.........\Core
.........\....\dsbel.m
.........\....\dsevalmc.m
.........\....\dsnorm.asv
.........\....\dsnorm.m
.........\....\dspl.m
.........\....\dsred.m
.........\....\dsstruct.asv
.........\....\dsstruct.m
.........\....\gaussiancopula.m
.........\Discretization
.........\..............\dsadf.m
.........\..............\dsconfsample.m
.........\..............\dsodf.asv
.........\..............\dsodf.m
.........\Examples
.........\........\dsexample.asv
.........\........\dsexample.m
.........\Measures
.........\........\dsaggunc.m
.........\........\dsavgwidth.m
.........\........\dsconf.m
.........\........\dsdissonance.m
.........\........\dsexpect.m
.........\........\dsnonspec.m
.........\Optimizers
.........\..........\dsbound.m
.........\..........\dsopt.m
.........\Plotting
.........\........\dscdf.m
.........\Sensitivity
.........\...........\dssensitivity.m