چكيده به لاتين
In fact, the most important purpose of the present study is to evaluate the environmental, social and economic impacts of drilling subway tunnels using the ANFIS Toolbox in Matlab. In fact, the issues raised by this study were compounded by the combination of the various evaluation methods mentioned above and the need to utilize the ESE-TMDT.ANN system by utilizing the ANFIS toolkit in Matlab to increase trust and confidence in decision making.
Research methodology from the point of view of research strategies, purpose, type, time, community, statistical sampling and sampling method, data gathering method, stages of research, method of achieving variables and concepts of primary research model, stages of designing and implementing intelligent system for evaluation And its structure, the means of determining the variables of the decision-making model, and its validity and reliability have been studied. Finally, by utilizing the intelligent system "one can improve the status" of the Tehran Metro Tunnel Drilling Project (TMDT) project more numerically and more precisely: for ideally important, if "good environmental" status of TMDT (X1) project, It means exactly 0.813 and "TMDT (X2) Project Social Impact" is good, it means 0.824 and "TMDT (X3) Project Economic Impact" is good, 0.819 precisely, and "Technology Management in TMDT (X4) Project" is good. Exactly 0.812 and "TMDT (X5) Project Risk Management" is in good condition, ie 0.815; then "Excellent Tehran (Fifth Level)" upgrade "Tehran Metro Tunnel Project" status means exactly Is equal to 952/0. According to the linguistic variable membership functions by experts, a value of 4.76 within a 5-value range defined for the "excellent" linguistic variable, namely the evaluation condition, with the coding code [0.813; 0.824; 0.819; 0.812; 0.815] exactly. 0.952 (95% optimality of the objective function) is calculated. In fact, the final difference between the outputs of the intelligent system of this study and the average expert opinion was not significant and was equal to 0.065. Since there is insufficient reason to accept the null hypothesis, the opposite assumption is accepted, meaning that there is no significant difference between the mean of expert opinions and the outputs of the "intelligent system".
Keywords: "Drilling Project"; "Tunnel Project"; "Tehran Metro Company"; "Artificial Neural Networks"; "Matlab Programming Environment".