In this paper, we introduce an novel emotional agent system in 3D virtual world based on OCC (Ortony, Clore and Collins) theory, FCM (Fuzzy Cognitive Map) and GoalNet. The agent system is designed based on Goal Net model. Emotional modeling and decision making are based on OCC and FCM inference. Emotions modeled by the OCC model are incorporated into FCM inference. It has been shown emotion has...

This paper is concerned with proposing the fuzzy cognitive map (FCM)-driven inference ampli®cation mechanism in the ®eld of web-mining. As the recent advent of the Internet, most of the modern ®rms are now geared towards using the web technology in their daily as well as strategic activities. The web-mining technology provides them with unprecedented ability to analyze web-log data, which are s...

Recent research finds that consumers pay more and more attention to the high grade product. An intelligent decision making system is proposed in this paper, the purpose of which is to monitor product quality of manufacturing system and give warnings to the quality managers accordingly. Since the complex interaction among the multivariate quality characteristic (QC) and the intelligent model is ...

Future science-driven landing missions, conceived to collect in-situ data on regions of planetary bodies that have the highest potential to yield important scientific discoveries, will require a higher degree of autonomy. The latter includes the ability of the spacecraft to autonomously select the landing site using real-time data acquired during the descent phase. This paper presents the devel...

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...

In this paper, we compare the inference capabilities of three different types of Fuzzy Cognitive Maps. A Fuzzy Cognitive Map is a Recurrent Artificial Neural Network that creates models as collections of concepts/neurons and the various causal relations that exist between these concepts/neurons. The three different types of Fuzzy Cognitive Maps that we study are the Binary, the Trivalent and th...

A recently proposed swarm intelligence technique for Fuzzy Cognitive Map learning is described. The technique employs the Particle Swarm Optimization algorithm to minimize a proper objective function, whose global minimizers correspond to suboptimal weight matrices of the Fuzzy Cognitive Map. New instances of an industrial test problem are studied, justifying the usefulness of the technique as ...

This paper presents fuzzy clustering algorithms for mixed features of symbolic and fuzzy data. El-Sonbaty and Ismail proposed fuzzy c-means (FCM) clustering for symbolic data and Hathaway et al. proposed FCM for fuzzy data. In this paper we give a modi3ed dissimilarity measure for symbolic and fuzzy data and then give FCM clustering algorithms for these mixed data types. Numerical examples and ...

A fuzzy cognitive map is a graphical means of representing arbitrarily complex models of interrelations between concepts. The purpose of this paper is to describe a fuzzy cognitive map based on the random neural network model called the random fuzzy cognitive map, and to illustrate its application in the modeling of process. This model is based on the probability of activation of the neurons/co...

This paper presents a latest survey of different technologies used in medical image segmentation using Fuzzy C Means (FCM).The conventional fuzzy c-means algorithm is an efficient clustering algorithm that is used in medical image segmentation. To update the study of image segmentation the survey has performed. The techniques used for this survey are Brain Tumor Detection Using Segmentation Bas...