Fuzzy logic and the role of weight in social sciences decision making parameters
Subject Areas : sociology
Mahdi Mosayebzadeh
1
(
Faculty of civil engineering, Azad University, Zarand branch
)
Lida Mahdizadeh ghalehjoogh
2
(
Assistant Professor, Faculty of humanities and educational science, Tabriz Branch, Islamic Azad University, Tabriz, Iran
)
Keywords: fuzzy logic, weight, Variance Component Estimation, Second variance factor,
Abstract :
The problem of decision-making in social, political, economic, legal and etc. issues is a problem with uncertainty, and this uncertainty is the main issue in fuzzy logic. Fuzzy logic is an advanced method for making decisions in all problems, which has been investigated in many researches, but the role of the weight of input components has not been explored much. The purpose of this research is to express the role of weight of input components and how to modify the weight of input components to achieve a fairer decision. In this research, first the concept of fuzzy logic is described and then the problem of weight is discussed from a mathematical point of view and it has been shown that how much the application of the correct weight to the input variables can affect the issue of justice in decision making. Also, the method of "Variance Components Estimation" to correct the weight of input data has been introduced and described, and this mathematical point of view has been used and the process of weight correction in social, political, economic and etc. issues has been investigated. The mentioned examples have shown that correcting the weight of the input variables makes the result more consistent with the concept of reality and also with the concept of justice. Finally, suggestions have been made so that different issues can be analyzed with a special process so that the inputs of different issues can correctly affect the results and achieve a more fair decision.
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