本人使用“hypervolume”包进行超维体积计算，构建了多个超维体积。想要计算这些超维体积的交集、并集、以及各自超维体积中独有的部分。R包中提供了计算两个超维体积交集、并集以及各自超维体积中独有的体积的方法（代码如下），代码中进行的是两两的超维体积交、并集以及两个超维体积比较下各自独特的部分。而我想得到的是三个超维体积的并集，以及各超维体积中独有的体积占整个并集（三个超维体积）的百分比。请问有各位大佬有相应的解决办法吗？是不是可以通过只计算两两超维体积的交、并集完成多个超维体积的并集计算？请各位大佬不吝赐教。


## Not run:
data(iris)
hv1 = hypervolume_gaussian(subset(iris, Species=="setosa")[,1:3],
name='setosa')
hv2 = hypervolume_gaussian(subset(iris, Species=="virginica")[,1:3],
name='virginica')
hv3 = hypervolume_gaussian(subset(iris, Species=="versicolor")[,1:3],
name='versicolor')
hv_set12 = hypervolume_set(hv1, hv2, check.memory=FALSE)
hv_set23 = hypervolume_set(hv2, hv3, check.memory=FALSE)
# no overlap found between setosa and virginica
hypervolume_overlap_statistics(hv_set12)
# some overlap found between virginica and versicolor
hypervolume_overlap_statistics(hv_set23)
# examine volumes of each set component
get_volume(hv_set23)
## End(Not run)