R中的模糊逻辑函数及其在Matlab中的应用

Question

Matlab模糊逻辑工具箱，给出了模糊推理系统建模。是否有所有工具箱的R-等效项或类似于以下的R函数：

1. 重发()：从文件加载模糊推理系统
2. 瓦尔菲斯()：执行模糊推理计算

读取和评价R中的模糊系统？

Answer 1

查看一下sets package，它完成了从模糊逻辑工具箱中期望的所有事情。它允许指定您的模糊隶属函数，设置您的模糊规则，进行模糊推理和去模糊化。?fuzzy_inference中的示例显示了标准模糊逻辑教科书的餐厅示例。我强烈推荐它。

## set universe
sets_options("universe", seq(from = 0, to = 25, by = 0.1))

## set up fuzzy variables
variables <-
set(service = fuzzy_partition(varnames = c(poor = 0, good = 5, excellent = 10), sd = 1.5),
food = fuzzy_variable(rancid = fuzzy_trapezoid(corners = c(-2, 0, 2, 4)),
                      delicious = fuzzy_trapezoid(corners = c(7, 9, 11, 13))),
tip = fuzzy_partition(varnames = c(cheap = 5, average = 12.5, generous = 20),
                      FUN = fuzzy_cone, radius = 5)
)

## set up rules
rules <-
set(
fuzzy_rule(service %is% poor || food %is% rancid, tip %is% cheap),
fuzzy_rule(service %is% good, tip %is% average),
fuzzy_rule(service %is% excellent || food %is% delicious, tip %is% generous)
)

## combine to a system
system <- fuzzy_system(variables, rules)
print(system)
plot(system) ## plots variables

## do inference
fi <- fuzzy_inference(system, list(service = 3, food = 8))

## plot resulting fuzzy set
plot(fi)

## defuzzify
gset_defuzzify(fi, "centroid")

## reset universe
sets_options("universe", NULL)

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Answer 2

您可以使用FuzzyToolkitUoN包。我相信它是由J. M. Garibaldi和诺丁汉大学的其他人开发的。

源代码可在他的网站上找到：http://ima.ac.uk/garibaldi。

工作发表在这里上。