Design of An Intelligent Model for Strategic Planning in Mineral Holding: Case study, Shahab-Sang Holding | ||
| Journal of Mining and Environment | ||
| مقاله 13، دوره 11، شماره 4، دی 2020، صفحه 1115-1126 اصل مقاله (1.89 M) | ||
| نوع مقاله: Original Research Paper | ||
| شناسه دیجیتال (DOI): 10.22044/jme.2020.9983.1931 | ||
| نویسندگان | ||
| A. Shokry1؛ Z. Ghazizadeh* 2؛ Sh. Piroozfar1؛ H. Tohidi1 | ||
| 1Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| 2Department of Industrial Engineering, Imam Hussein University, Tehran, Iran | ||
| چکیده | ||
| Business logic is one of the most important logics based on the decision matrix. However, using this logic alone and environmental uncertainty leads to problems such as low accuracy and integrity in strategic planning. In this work, we use an intelligent model based on the neural-fuzzy approach aiming at a desired decision-making and reducing the uncertainty in the strategic planning in mineral holdings. Here, the strategies are presented based on three logics, namely business, added value, and capital market. After extracting the primary indices, the final indices of the three logics are selected by consulting with the mineral holding experts. Modelling of the indices is accomplished by the Matlab software, and the model computation is done by the root mean square error for the test data and train data. The case study (Shahab-sang holding) findings show that by a combination of these three logics, the proposed strategies include more integration and accuracy, which lead to a lower uncertainty and more speed in the strategy formulation. Also the test result indicates the validity of all the extracted strategies. | ||
| کلیدواژهها | ||
| Intelligent model؛ strategic planning؛ mineral holding؛ decision matrix؛ fuzzy-neural | ||
| مراجع | ||
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