Add to ORKGAbstract The enrollment study is main point for the university planning. Many previous studies have been presented for enrollment forecasting. This paper proposed the adoption the weighted and the difference between actual data toward midpoint interval based on fuzzy time series. By using the enrollment of the University of Alabama and Universiti Teknologi Malaysia (UTM), as data sets for training and testing, the performance of the adoption approach has been shown much improvement in terms of MSE (Mean Square Error) and average error of forecasting measurements
Since the pioneering work of Zadeh, fuzzy set theory has been applied to a myriad of areas. Song and...
[[abstract]]Traditional time series methods fail to forecast the problems with linguistic historical...
This work presents a study on prediction of university enrollment using three computational intellig...
The Time-Series models have been used to make predictions in whether forecasting, academic enrollmen...
In this paper we propose a new method to forecast enrollments based on fuzzy time series. The propos...
Abstract—A number of forecasting models have been proposed based on fuzzy time series in the past 20...
There are a variety of approaches to the problem of predicting educational enrolment. However, none ...
This paper proposes a novel improvement of forecasting approach based on using time-invariant fuzzy ...
There are a variety of approaches to the problem of predicting educational enrolment. However, none...
In this paper, we have proposed a new modified forecasting method based on time-variant fuzzy time s...
Enrolment forecasting, which provides information for decision making and budget planning, is import...
Most fuzzy forecasting approaches are based on model fuzzy logical relationships according to the pa...
In the last 15 years, a number of methods have been proposed for forecasting based on fuzzy time ser...
AbstractThe fuzzy time series has recently received increasing attention because of its capability o...
Abstract. During the last decade different time series models have been designed and developed. The ...
Since the pioneering work of Zadeh, fuzzy set theory has been applied to a myriad of areas. Song and...
[[abstract]]Traditional time series methods fail to forecast the problems with linguistic historical...
This work presents a study on prediction of university enrollment using three computational intellig...
The Time-Series models have been used to make predictions in whether forecasting, academic enrollmen...
In this paper we propose a new method to forecast enrollments based on fuzzy time series. The propos...
Abstract—A number of forecasting models have been proposed based on fuzzy time series in the past 20...
There are a variety of approaches to the problem of predicting educational enrolment. However, none ...
This paper proposes a novel improvement of forecasting approach based on using time-invariant fuzzy ...
There are a variety of approaches to the problem of predicting educational enrolment. However, none...
In this paper, we have proposed a new modified forecasting method based on time-variant fuzzy time s...
Enrolment forecasting, which provides information for decision making and budget planning, is import...
Most fuzzy forecasting approaches are based on model fuzzy logical relationships according to the pa...
In the last 15 years, a number of methods have been proposed for forecasting based on fuzzy time ser...
AbstractThe fuzzy time series has recently received increasing attention because of its capability o...
Abstract. During the last decade different time series models have been designed and developed. The ...
Since the pioneering work of Zadeh, fuzzy set theory has been applied to a myriad of areas. Song and...
[[abstract]]Traditional time series methods fail to forecast the problems with linguistic historical...
This work presents a study on prediction of university enrollment using three computational intellig...