FIS_IMP: Fuzzy Inference System 1 (FIS1)

In ngort01/fuzzyMM: Map Matching Using Fuzzy Logic

Description

Fuzzy Inference System used in the Initial Map Matching Process (IMP).

Format

frbs object

Details

The IMP is the first and very important part of the map matching process since it is responsible for the identification of the initial link. Here you can see the input variables, fuzzy subsets and fuzzy rules used in FIS1. It is usefull to know the variables and how they affect the rule outputs in case you plan to change the range of the fuzzy subsets.

Input variables to this FIS are:

• speed of the vehicle, v (m/s)

• heading error, HE (degrees)

• perpendicular distance to candidate link, PD (m)

• horizontal dilution of precision (HDOP)

The fuzzy subsets of the input variables are:

• high, low, zero

• small, large

• short, long

• good, bad

The corresponding fuzzy rules used in this FIS are:

• If ( v is high) and (HE is small) then (L1 is average)

• If (v is high) and (HE is large) then (L1 is low)

• If (HDOP is good) and (PD is short) then (L1 is average)

• If (HDOP is good) and (PD is long) then (L1 is low)

• If ( HE is small) and (PD is short) then ( L1 is high)

• If ( HE is large) and ( PD is long) then (L1 is low)

See Also

get_var_bounds, set_var_bounds

Examples

fis_imp <- get_fis("IMP")
fis_imp
# Plot membership functions
plotMF(fis_imp)

ngort01/fuzzyMM documentation built on May 23, 2019, 4:43 p.m.