List of Articles multi-criteria decision analysis (MCDA)

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  1 - Development of a web-based group spatial decision support system for the site selection of a new shopping center
  Abbas Safari Mohammad Hassan Vahidnia Hossein Aghamohammadi
  Choosing the right place to build a new shopping center is a multi-criteria decision-making problem that involves different people and opinions. In this research, geographic information systems (GIS) and multi-criteria decision-making models have been used to perform so More

  Choosing the right place to build a new shopping center is a multi-criteria decision-making problem that involves different people and opinions. In this research, geographic information systems (GIS) and multi-criteria decision-making models have been used to perform some stages of spatial analysis, and then the development of a group decision support system for aggregating and selecting the final alternative has been discussed. A two-step method was proposed in this research to create limited decision-making options. In the first stage, creating standard criteria maps including five items with spatial analysis and normalization was done in ArcGIS software. According to the studies, the weight of each criterion was determined and the weighted overlapping of the layers was done. After applying the limiting options, six areas were determined to perform web-based location selection. In the second stage, a group spatial decision support system was developed. Using Visual Studio environment and C# programming language and .NET technology, a website was designed for the participation of experts in this field. In the architecture of this system, ASPMap technology, including a set of controls and map components, and location-based tools, was embedded on the server side of the program. User weighting of the criteria was done in the forms designed by Analytical Hierarchy Process (AHP). With the help of stored procedures in a SQL Server database, the average value of each of the selected points is calculated online based on the opinions of the group. Finally, the point that had the highest value in the average of the opinions of different users was introduced as the best place to build a shopping center. The research results showed that the proposed method has high flexibility, speed, and ease in applying group opinions. Manuscript profile
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  2 - Evaluation of failure risk in the sewerage system using Bayesian network and spatial multi-criteria decision making
  Seyed Morteza Ghoreishi Mohammad Hassan Vahidnia Aminreza Neshat
  A failure in the sewage network as one of the important urban infrastructures can have adverse consequences, which sometimes even leads to the disruption of a part of a city's performance. In this article, the risk of failure in sewerage networks was conducted based on More

  A failure in the sewage network as one of the important urban infrastructures can have adverse consequences, which sometimes even leads to the disruption of a part of a city's performance. In this article, the risk of failure in sewerage networks was conducted based on the combination of the probability of failure and the consequences of failure in the 4th water and sewerage area of Tehran. For this purpose, Bayesian networks were first used to obtain the probability of failure. The network was formed based on features such as deposits, pipe leakage, corrosion, pipe wear, and pipe deformation. For 1610 pipes, 70% of which were used for training and 30% for testing, the probability of pipe blockage was 6.7%, the probability of hydraulic failure was 2.2%, the probability of structural failure was 0.3%, and the total probability of failure for pipes was 8.7%. The overall average accuracy of this step was estimated at 76%. In estimating the consequences of failure, spatial analysis in GIS and the DEA multi-criteria decision-making method were used. Spatial analysis such as buffer for 9 spatial criteria made it possible to score pipes with high speed and efficiency in case of failure and its impact on the surroundings. The DEA method has the advantages of using objective and subjective data as well as reducing the number of pairwise comparisons. Finally, with the effect of PoF and CoF values on each other, the risk of pipe failure was obtained and by ranking them, 9 items in the network were identified as critical pipes. The results showed that such an approach has high reliability and the risk of failure can be estimated with proper accuracy. Manuscript profile