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Fuzzy AHP TOPSIS Method Based TrFN for New Normal Problem

EasyChair Preprint no. 4617

8 pagesDate: November 21, 2020


The Corona virus disease (Covid-19) pandemic is a multi-dimensional crisis that attacks a country in various fields, such as health and the economy. This is also felt by Indonesia, which has carried out an emergency response period for handling Covid. The Indonesian government is working on the New Normal program. However, to ensure the success of the program, the readiness of each region is needed to implement it. Research on the readiness of an area was conducted using the Fuzzy Analytical Hierarchy Process (AHP) and Fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method. Fuzzy AHP is used to calculate the weight for each criterion, while fuzzy TOPSIS is used to examine the readiness and safety of an area to implement the new normal. Both of these methods use Trapezoidal Fuzzy Number (TrFN). The case study in this research is Central Java Province, with the alternative regency and city. The criteria used are the number of positive patients who recover, are treated, died and suspect. The result can be seen that the more patients who recover, the area will be ready to implement the new normal program.

Keyphrases: COVID-19, Fuzzy AHP, Fuzzy TOPSIS, New Normal

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Eko Y Utomo and Titi Udjiani and Bambang Irawanto and Bayu Surarso},
  title = {Fuzzy AHP TOPSIS Method Based TrFN for New Normal Problem},
  howpublished = {EasyChair Preprint no. 4617},

  year = {EasyChair, 2020}}
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