Aim/Purpose: This research aims to present a brand-new approach for student performance prediction using the Learning Fuzzy Cognitive Map (LFCM) approach. Background: Predicting academic has long been an important topic in many disciplines. Different mathematical models have employed predict performance. Although available sets of common approaches, such as Artificial Neural Networks (ANN) and ...

The paper focuses on the use of Fuzzy Cognitive Mapping (FCM) in Balanced Scorecard (BSC) performance measurement framework. We present a state art areas and BSC. highlight limitations BSC frameworks drawbacks identified strategic maps. then FCM algorithm its decision making as solution to drawbacks. elaborate an methodology supporting software application called Modeler for development hierarc...

2 Introduction This document demonstrates the functionality of the flowType package for phenotyping FCM assays. flowType uses a simple threshold, Kmeans, flowMeans or flowClust to partition every channel to a positive and a negative cell population. These partitions are then combined to generate a set of multi-dimensional phenotypes. For more details on how this package can be used in a complet...

The effects of feeding Fusarium moniliforme culture material, containing known concentrations of fumonisin Bj (FBi), were studied in turkey poults. Day-old poults were allotted randomly to dietary treatments containing 0, 0.41, 0.82, 1.23, 1.64, 2.87, 4.10, 5.33, 6.56, and 7.79% fumonisin culture material (FCM). These levels of FCM supplied 0, 25, 50, 75, 100, 175, 250, 325, 400, and 475 mg FBi...

Successes with kernel-based classification methods have spawned many recent efforts to kernelize clustering algorithms for object data. We extend this idea to the relational data case by proposing kernelized forms of the non-Euclidean relational fuzzy (NERF) and hard (NERH) c-means algorithms. We show that these relational forms are dual to kernelized forms of fuzzy and hard c-means (FCM, HCM) ...

Objective: To identify and compare parental Food Choice Motives (FCM) between healthy weight and overweight/obese children. Methods: The study used an explanatory sequential mixed methods design conducting quantitative survey followed by participant interviews. Forty parents of healthy weight children and 42 parents of overweight/obese children (6-17 years) completed FCM surveys in their homes ...

An important requirement for the practical implementation of empirical diagnostic systems is the capability of classifying transients in all plant operational conditions. The present paper proposes an approach based on an ensemble of classifiers for incrementally learning transients under different operational conditions. New classifiers are added to the ensemble where transients occurring in n...

In view of failure characteristics of wind turbine gear box, this paper puts forward a method for fault diagnosis based on the ensemble local means decomposition (ELMD) and fuzzy C-means clustering (FCM) method. Resolve the vibration signal of different fault state of high speed gear box by ELMD to obtain the PF component, and obtain its singular value, which is composed of known sample and tes...

Over the last decade, the world has witnessed the rapid development of networking applications of different kinds, and network domains have become more and more advanced regarding with their level of heterogeneity, complexity and the size. Some obstacles such as availability, flexibility and insufficient scalability have affected the existing centralized network management systems, as networks ...