Fuzzy Cognitive Map

Conceptual modeling of R&D effectiveness improvement processes has been carried out. The study was conducted in three different areas of the R&D improvement that allowed identifying a wide range of concepts in the area under study.Based on a systematic approach to the activities in the field of team building and innovative development, the authors developed a questionnaire for a survey of professional teams involved in the R&D and tested it at the instrument-making enterprise, as well as identified negative characteristics that reduced the level of productivity of the creative teams surveyed. Using the system analysis and cognitive modeling approach, the authors revealed the key concepts influencing team decision-making under uncertainty on the national economy scale. The factors affecting the labor effectiveness within the enterprise are identified on the example of implementation of the R&D support system in a large department of the project organization. The novelty of the research consists in comprehensive consideration of the scientific activity issues at three different levels of organizational complexity. The study can be used in the planning of major projects dealing with labor effectiveness improvement in scientific work.

Firms adopting Enterprise Resource Planning (ERP) have to maintain their applications until the end of the system life span. Proper ERP maintenance is a condition that is necessary to achieve the benefits expected of these packages. However, too many ERP maintenance projects result in failure. Numerous risks affect the development of these projects due to their size, complexity and high

Trust has been recognized as a vital factor for a component software platform. Inside the platform, trust of a platform entity can be controlled according to its assessment result. Special control modes can be applied in order to ensure a trustworthy system. In this paper, we present an adaptive trust control model in order to support autonomic trust management for

Journal of Intelligent and Robotic Systems 26: 389–403, 1999. © 1999 Kluwer Academic Publishers. Printed in the Netherlands. ... A Soft Computing Approach for Modelling the ... CD STYLIOS and PP GROUMPOS Laboratory for Automation and Robotics, Department of ...

This paper addresses the problem of designing a knowledge management methodology tool to act as a decision support mechanism for geographically dispersed financial enterprises. The underlying research addresses the problem of information capture and representation in financial institutions in order to provide an implementation of the virtuous cycle of knowledge flow. The proposed methodology tool utilizes the fuzzy causal characteristics of Fuzzy Cognitive Maps (FCMs) to generate a hierarchical and dynamic network of interconnected financial performance concepts. By using FCMs, the proposed mechanism simulates the operational efficiency of distributed organizational models with imprecise relationships and quantifies the impact of the geographically dispersed activities to the overall business model. Generic adaptive maps that supplement the decision-making process present a roadmap for integrating hierarchical FCMs into the business model of typical financial sector enterprises. Copyright © 2004 John Wiley & Sons, Ltd.

Abstract. A fuzzy cognitive map is a graphical means of represent-ing arbitrarily complex models of interrelations between concepts. The purpose of this paper is to describe a dynamic fuzzy cognitive map based on the random neural network model. Previously, we have ...

This paper focus on obtaining a qualitative dynamic model based on real world data taken from a real world qualitative system: the day to day behavior of purse seine fishing fleet skippers. The model is based on a dynamic cognitive mapping approach (rule based fuzzy cognitive maps - RB-FCM) where several developments had to be made in order to obtain a workable system. Most changes were due to timing issues, which are essential in the study of system dynamics but have traditionally been avoided in most dynamic cognitive maps modelling approaches.

This paper explores the application of fuzzy cognitive maps (FCM) to emergency operating procedures (EOPS), to represent the decision-making process during abnormal situations in a nuclear power plant (NPP). The decision-making process in a NPP is a complex process, due to the many elements involved in its operation, and the permanent attention demanded by its maintenance. At the present time, the decision making process in a NPP is analyzed and developed by reactor operators, based on a set of instructions as well as flow charts to mitigate the consequences of a broad range of transients, accidents and multiple equipment failures, whose main characteristic is to be linear representations of events within a scenario. One of the main objectives of this paper is to present a method based in FCM that could be applied in the development of EOPS, and show some simulations, specifically the loss of coolant accident (LOCA) scenario in a boiling water reactor (BWR) with the Mark II containment design was studied. The FCM-based method represents with high fidelity the expert reasoning (the human expert is very important) and the interpretation of the results aids instantly to the reactor operators in the surveillance of the reactor proper functionality due that they have the responsibility of the decision taking in emergency situations. The simulations results show that the FCM predict properly the phenomenon in the reactor vessel and primary containment.

behaviors specified by FCMs for simulating it-self and others in its imaginary space. FCMs can give true per- ception & emotion. We propose a FCM-learning al- gorithm using meta-knowledge about learning in order to imitate a given behavior in real-time. The virtual actor autonomously selects training periods. This se- lection is inspired by neurophysiological experiments about active perception and hippocampus.

Abstract. A fuzzy cognitive map is a graphical means of representing arbitrar-ily complex models of interrelations between concepts. The purpose of this pa-per is to describe an adaptive fuzzy cognitive map based on the random neural network model. Previously, we have ...

Abstract. A fuzzy cognitive map is a graphical means of represent-ing arbitrarily complex models of interrelations between concepts. The purpose of this paper is to describe a dynamic fuzzy cognitive map based on the random neural network model. Previously, we have ...