Minimizing Risk of Accidents by Selecting Reverse Delete Fuzzy-FMEA Route
- DOI
- 10.2991/978-94-6463-138-8_16How to use a DOI?
- Keywords
- risk analysis; safest route; Reverse Delete algorithm; fuzzy-FMEA
- Abstract
Roads are often used to travel from one place to another. To shorten the trip, it is usually done via the shortest route. Choosing the shortest route cannot be separated from the risks that can occur, such as accidents. Risk management serves to minimize this from happening. Analysis of the feasibility of the road to be traversed can be a consideration. The method used is Fuzzy Failure Mode and Effect Analysis (Fuzzy-FMEA). This method combines fuzzy logic with the FMEA method which is then processed with the appropriate membership function and fuzzy logic rule evaluation so that a fuzzy number is generated that can indicate the level of risk that the road is safe or not to pass. Based on the trial results, the safest routes for inter-city travel that pass through Jember Regency are Lumajang_1 to Bondowoso_1, Lumajang_2 to Banyuwangi, and Bondowoso_1 to Banyuwangi.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Rifki Ilham Baihaki AU - Rosanita Nisviasari AU - Dafik AU - Ika Nur Maylisa AU - Ika Hesti Agustin AU - Valeriana Lukitosari PY - 2023 DA - 2023/04/27 TI - Minimizing Risk of Accidents by Selecting Reverse Delete Fuzzy-FMEA Route BT - Proceedings of the 6th International Conference of Combinatorics, Graph Theory, and Network Topology (ICCGANT 2022) PB - Atlantis Press SP - 177 EP - 191 SN - 2352-541X UR - https://doi.org/10.2991/978-94-6463-138-8_16 DO - 10.2991/978-94-6463-138-8_16 ID - Baihaki2023 ER -