ghksdl6025 / fuzzy_rule_outcome_prediction

Fuzzy association rule based outcome prediction

suhwan Lee

Fuzzy membership function in uniform interval

Update

20.09.25

• Apriori algorithm with fuzzified itemset mining is done. Each label dataframe has unique rule only assigned for the label.
• Now, the next step is to construct classifier and plot network. Then compare the network and prediction performance to normal ARM method.

20.09.15

• Still writing code for generating association rules from fuzzified item set dataframe

20.09.14

• Update quantitative2fuzzy.py file generating fuzzified event log.
• Columns of fuzzied event log are caseid, label, and membership label while converting quantitative value to assigned memebership names
• That is, number of columns are not prefix length * possible memebership labels.
• Column explanation:
  Quantitative atts_event order_membership label
  ex) Duration_1_SS
  Quantitatie atts = Duration
  event order = 1 membership label = SS