International Journal of Advances in Applied Computational Intelligence
  IJAACI
  2833-5600
  
   10.54216/IJAACI
   https://www.americaspg.com/journals/show/1864
  
 
 
  
   2022
  
  
   2022
  
 
 
  
   Car Sharing Station Choice by using Interval Valued Neutrosophic WASPAS Method
  
  
   Information Management School, Universidade Nova de Lisboa, 1070-312, Lisboa, Portugal
   
    Ahmed
    Abdelaziz
   
   Information Management School, Universidade Nova de Lisboa, 1070-312, Lisboa, Portugal
   
    Alia N. Mahmoud 
    Nova
   
  
  
   Adding car-sharing to existing public transit options is a great idea. However, finding the right location for a car-sharing station is difficult. The car-sharing station choice has many conflicting criteria, so the multi-criteria decision-making idea is used to deal with various conflict criteria. The process of choosing a suitable car-sharing station is containing vague and imprecise information. So, the neutrosophic set (NS) is used to overcome this problem. This paper introduced a framework consisting of the weighted aggregated sum product assessment (WASPAS) method with the NS. The WASPAS is an MCDM method. The WASPAS is used to compute the importance of criteria and the importance of alternatives. The WASPAS is a hybrid with interval-valued neutrosophic sets (IVNS). The suggested framework is applied to select car-sharing stations. This paper can help decision-makers in selecting the location to install a car sharing station.
  
  
   2022
  
  
   2022
  
  
   27
   36
  
  
   10.54216/IJAACI.020203
   https://www.americaspg.com/articleinfo/31/show/1864