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یازدهمین کنفرانس بین‌المللی مهندسی صنایع
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
A Flexible Neural Network-Fuzzy Data Envelopment Analysis Approach for Location optimization of Solar Plants with Uncertainty and Complexity |
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| چکیده انگلیسی مقاله |
This study presents a flexible approach for optimization the location of solar plants. It is composed of artificial neural network (ANN) and fuzzy data envelopment analysis (FDEA). The intelligent approach of this study is applied to an actual location optimization of solar plants in Iran. First, FDEA is validated by DEA, and then it is used for ranking of solar plant units (SPUs) and the best a -cut is selected based on test of Normality. Also, several ANNs are developed through multi layer perceptron (MLP) for ranking of solar plants and the best one with minimum MAPE is selected for further considerations. Finally, the preferred model (FDEA or ANN) is selected based on test of Normality. The implementation of the flexible approach for solar plants in Iran identifies FDEA at a = 0.3. This indicates that the data are collected from the uncertain and fuzzy environment. This is the first study that presents a flexible approach for identification of optimum location of solar plants with possible noise, nonlinearity, vague and fuzzy environment. |
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| کلیدواژه‌های انگلیسی مقاله |
Fuzzy Data Envelopment Analysis (FDEA), Artificial Neural Network (ANN), Location Optimization, Solar Plant Unit (SPU), Uncertainty, Complexity |
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| نویسندگان مقاله |
| M. Sheikhalishahi
College of Engineering, University of Tehran
| A. Azadeh
College of Engineering, University of Tehran
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| نشانی اینترنتی |
iiec2015.org |
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| زبان مقاله منتشر شده |
en |
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