Predicting students’ academic performance and the factors that significantly influence it can improve completion graduation rates, as well reduce attrition rates. In this study, we examine influencing student achievement. A fuzzy-neural approach is adopted to build a model predicts explains variations in course grades among students, based on category, attendance rate, gender, high-school grade...

in the paper a model to predict the concentrations of particulate matter pm10, pm2.5, so2, no, co and o3 for a chosen number of hours forward is proposed. the method requires historical data for a large number of points in time, particularly weather forecast data, actual weather data and pollution data. the idea is that by matching forecast data with similar forecast data in the historical data...

This paper presents two new methods for evaluating students’ answerscripts based on extended fuzzy grade sheets, where the evaluating values are represented by fuzzy numbers. The fuzzy modeling techniques are used to represent the evaluating values by fuzzy numbers to increase the flexibility of the system. In other words, it allows an evaluator to express his/her evaluating values by using fuz...

This paper proposes a new selection mechanism in evolutionary learning for fuzzy systems, which is applied to the learning of shooting action for robot soccer. In generic evolutionary algorithm, since the evaluation and the selection are performed on the level of chromosome, selected chromosome may include non-effective or bad genes, which increase the uncertainty of the solutions. To solve thi...

After a presentation of a grading system of cereals, we present our contribution in proposing a gait of transition of the "barème d’agréage" used in Tunisia to determine the price of transactions of cereals toward a grading system based on the concept of "Grade" using a fuzzy logic techniques. The simplification of the "barème d’agréage" necessitates a global approach based on a systemic analys...

A new decision support system is developed for assisting business executives in deciding the e-business models to adopt for new business ventures. The developed system is based on a new framework using fuzzy logic theory. A detailed conceptual design is developed. The proposed system solves important challenges such as the use of linguistic terms to capture the executives’ assessments of the ke...

Both seasonal demand r and total demand R in the production inventory model are difficult to estimate precisely to actual r0 and R0 values, respectively. Hence, we will set the membership grade at r0 and R0 in an interval [λ, 1], 0 < λ < 1, and then, obtain the interval-valued fuzzy sets r̃ and R̃, respectively. For each production quantity period q, we can obtain the fuzzy total cost Gq ( r̃, R̃ )...