Z-Cognitive Map: An Integrated Cognitive Maps and Z-Numbers Approach under Cognitive Information
الموضوعات :
Mostafa Izadi
1
(Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Rassoul Noorossana
2
(Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran)
Hamidreza Izadbakhsh
3
(Department of Industrial Engineering, Kharazmi University, Tehran, Iran)
Saber Saati
4
(Department of Mathematics, Tehran-North Branch, Islamic Azad University, Tehran, Iran)
Mohammad Khalilzadeh
5
(Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran)
الکلمات المفتاحية: Z-numbers, Cognitive Information, uncertainty management, Fuzzy Cognitive Map,
ملخص المقالة :
Usually, in real-world engineering problems, there are different types of uncertainties about the studied variables, which can be due to the specific variables under investigation or interaction between them. Fuzzy cognitive maps, which addresses the cause-effect relation between variables, is one of the most common models for better understanding of the problems, especially when the quantitative data are not available or the nature of the problem is qualitative. One of the significant issues of automatic construction of fuzzy cognitive maps is that it does not consider the experts' uncertainties because of their cognitive attitudes such as age, experience, etc., which affects the quality and validity of modeling of the complex problems. Therefore, in this paper, a Z-Cognitive maps approach is proposed based on the distance-based automatic construction approach and Z-numbers to capture uncertainty and ambiguity of experts' opinions on the variables and causality relationships. The suggested approach can act as decision support for cognitive maps problems considering the experts' cognitive information, which is tested by a numerical example.
