Complex fuzzy theory has strong practical background in many important applications,
especially in decision-making support systems. Recently, the Mamdani Complex Fuzzy …

The aim of the research is to find the best performance both of logistic regression and linear
discriminant which their threshold uses some various values. The performance tools used …

Binary choices, such as success or failure, acceptance or rejection, high or low, heavy or
light, and so on, can always be used to express decision-making. Based on the known …

This document presents some considerations and procedures to design a compact fuzzy
system based on Boolean relations. In the design process, a Boolean codification of two …

The multiple regression model is very popular among researchers in both field of social and
science because it is easy to interpret and have a well-established theoretical framework …

The government has responsible to make a better life of their society in various aspects of
life including a standard level of society public. The research aims to implement combining …

The fuzzy rule bases has a central role in the fuzzy inference system. Generating of rule
bases based on input-output data pairs by using Fuzzy C-Mean clustering (FCM) requires …

Fraud detection is the first step to preventing fraud committed by both individuals and
organizations. The development of a high-performance classification model to detect fraud is …

The impact of the COVID-19 pandemic has spread to all aspects of life. Modeling the price of
beef and chicken meat is very important for the government to avoid extreme fluctuations of …