Fuzzy Cognitive Maps (FCMs) is a soft computing technique that has been used to model and simulate various and completely different applications from different areas. The FCM modeling approach is symbolic, presenting abstract knowledge and is based on human expert experience and knowledge. This study examines and compares the FCM models as they have been used for various applications.

One simple type of connectionist system, the Fuzzy Cognitive Map (FCM), produces patterns of dynamical output with three important structural properties and capabilities: symmetry, objective relational levels, and the automatic inference of novel logical categories. Together, these emergent properties also reveal a connectionist system that, when cast in the role of a learning agent, has the po...

Today, organisations that seek a competitive advantage are adopting virtual infrastructures that share and manage computing resources. The trend is toward implementing collaborating applications supported by web services technology. In order to enable secure interoperation between participants of these environments, trust is an important requirement to address. Current solutions to trust betwee...

This paper discusses a framework to assist test managers to evaluate the use of AI techniques as a potential tool in software testing. Fuzzy Cognitive Maps (FCMs) are employed to evaluate the framework and make decision analysis easier. A what-if analysis is presented that explores the general application of the framework. Simulations are performed to show the effectiveness of the proposed meth...

One of the high energy consuming devices in the buildings is the air-conditioning system. Designing a proper controller to consider the thermal comfort and simultaneously control the energy usage of the device will impact on the system energy efficiency and its performance. The aim of this study was to design a Multiple-Input and Multiple-Output (MIMO), non-linear, and intelligent controller on...

Fuzzy Cognitive Maps (FCMs) have successfully been applied in numerous domains to show relations between essential components. In some FCM, there are more nodes, which related to each other and more nodes means more complex in system behaviors and analysis. In this paper, a novel learning method used to construct FCMs based on historical data and by using data mining and DEMATEL method, a new m...

The policy objective of safeguarding financial stability has stimulated a wave of research on systemic risk analytics, yet it still faces challenges in measurability. This paper models systemic risk by tapping into expert knowledge of financial supervisors. We decompose systemic risk into a number of interconnected segments, for which the level of vulnerability is measured. The system is modele...

Developers’ emotional stability in agile software development (ASD) teams is an important factor affecting the success of a project. Traditional Happiness Chart depends on people’s self-report and is unable to produce predictive analysis to facilitate decision-making. In this paper, we proposed a Fuzzy Cognitive Map (FCM) based method for analyzing ASD developers’ emotional stability. We design...

EDI control design is ill-structured and demands consideration of the complex causal relationships among various components of the controls, which may be broadly classi®ed into formal, informal, and automated types. Each of these can, in turn, be categorized as internal or external. However, it is dif®cult even for EDI experts to predict the causal effects of one control on another. In order to...

According to UNICEF, Child trafficking is defined as “any person under the age 18 who is recruited, transported, transferred, harboured or received for the purpose of exploitation, either within or outside a country”. It has been mentioned in the article that children were missing overnight, as many as one every eight minutes, according to the National Crime Records Bureau. Children were traffi...