Modeling Factors Affecting Residential Natural Gas Consumption Using Fuzzy Cognitive Map | ||
| Industrial Management Journal | ||
| مقاله 6، دوره 9، شماره 3، 2017، صفحه 515-538 اصل مقاله (2.35 M) | ||
| نوع مقاله: Original Research Article | ||
| شناسه دیجیتال (DOI): 10.22059/imj.2017.240128.1007296 | ||
| نویسندگان | ||
| Mohammad Reza Akhavan Anvari* 1؛ Mohammad reza Mehrgan2؛ Mostafa Zandieh3؛ Aliyeh Kazemi4 | ||
| 1Ph.D. in Operations Research, Faculty of Management, University of Tehran, | ||
| 2Prof. of Industrial Management, University of Tehran, Tehran, Iran | ||
| 3Associate Prof. of Industrial Management, Shahid Beheshti University, Tehran, | ||
| 4Associate Prof. of Industrial Management, University of Tehran, Tehran, Iran | ||
| چکیده | ||
| Today, energy is an important part of the economic cycle of various countries in the international relations. Also, given the volatility of oil prices in world markets and its impact on the global economy, it is expected that world's gas industry and the use of gas as an alternative energy becomes more important. Therefore, study and research on supply and demand of energy, especially natural gas, and studying factors affecting energy consumption in various sectors is very important. In this research, first factors affecting the consumption of natural gas in the residential sector is investigated and identified, by interviewing experts of gas industry and through content analysis method, and then the causal model of direct and indirect relationships between the variables and their intensity of influence through fuzzy cognitive map is determined. So, for the first time qualitative cultural and social variables along with the climate, social and economic variables is included in causal modeling. | ||
| کلیدواژهها | ||
| Content analysis؛ Fuzzy Cognitive Map؛ Gas consumption؛ Gas industry؛ Residential sector | ||
| مراجع | ||
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