Hazard level of vehicle smoke by fuzzy multiple attribute decision making with simple additive weighting method

• Main Authors: Abadi, Satria, Huda, Miftachul, Mat Teh, Kamarul Shukri, Haron, Zulkiflee, Ripin, Mohd. Nasir, Hehsan, Aminudin, Sarip, Shamsul, Hehsan, Muhamad Rafiqi, Amrullah, Musfika, Maseleno, Andino
• Format: Article
• Language: English
• Published: Advanced Scientific Research 2018
• Subjects: Q Science (General); T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/85289/1/MiftachulHuda2018_HazardLevelofVehicleSmokebyFuzzy.pdf; http://eprints.utm.my/id/eprint/85289/; http://dx.doi.org/10.31838/ijpr/2018.10.04.010

Clean air is a necessity for human. Human needs clean and healthy air without being contaminated by vehicle smoke that can endanger human health. vehicle smoke contains harmful substances for human including carbon dioxide (CO2), carbon monoxide (CO), nitrogen oxides (NOx) and lead metal (Pb). This can make air quality worse and can cause human be suffered of diseases including ARI (Acute Respiratory Infection), shortness of breath, sore eyes, coughing, brain damage and mental disability in children. Decision Support System (DSS) is a system to support Managerial decision makers in semi-structured decision situations and in this research author made a study of the DSS model to determine the level of danger of vehicle smoke, this study uses the Fuzzy Multiple Attribute Decision Making method (FMADM) where this method is a way to find optimal alternative from a number of alternatives with certain criteria, from very low things that was from 0-0.25, medium from 0.3-0.50, to the most dangerous thing that was from 0.8-1. Hopefully with the existence of this research later it can be useful for the community, especially for public health.