 This work develops a knowledge based system to autonomous navigation using Fuzzy Cognitive Maps (FCM). A new variant of FCM, named Event Driven-Fuzzy Cognitive Maps, (ED-FCM) is used to model decision tasks and/or make inference in the robot or mobile navigation. Fuzzy Cognitive Maps is a tool that modeling qualitative knowledge in minds maps structured way through concepts and causal relatio...

The main purpose of this paper is to propose a novel soft computing inference engine model for intrusion detection. Our approach is anomaly based and utilizes causal knowledge inference based fuzzy cognitive maps (FCM) and multiple self organizing maps (SOM). A set of parallel neural network classifiers (SOM) are used to do an initial recognition of the network traffic flow to detect abnormal b...

Fuzzy cognitive map is a soft computing technique for modeling systems, which combines synergistically the theories of neural networks and fuzzy logic. Developing of fuzzy cognitive map (FCM) relies on human experience and knowledge, but still exhibits weaknesses in utilization of learning methods. The critical dependence on experts and the potential uncontrollable convergence to undesired stea...

This paper focus on the comparison between Rule Based Fuzzy Cognitive Maps and Fuzzy Cognitive Maps. The paper shows FCM limitations to represent nonmonotonic non-symmetric causal relations, presents results that exhibit the stability of RBFCM in systems where FCM is not stable due to its non-fuzzy inherent nature and presents RBFCM potential to model qualitative real-world dynamic systems.

Typically, complex systems such as socio-ecological systems are ambiguous and ill-defined due to human-environment interactions. These systems could be participatory systems which involve many participants with different levels of knowledge and experience. The various perceptions of the participants may need to be combined to get a comprehensive understanding and useful knowledge of the system....

Recently, an increasing number of researchers have been focusing on working out realistic solutions to sustainability problems. As sustainability issues gain higher importance for organisations, the management of such decisions becomes critical. Knowledge representation is a fundamental issue of complex knowledge based systems. Many types of sustainability problems would benefit from models bas...

This paper examines fuzzy cognitive map (FCM) theory and its use in supervisory control systems. An FCM is a graph used to depict cause and e€ect between concepts that stand for the states and variables of the system. An FCM represents the whole system in a symbolic manner, just as humans have stored the operation of the system in their brains, thus it is possible to help man's intention for mo...

In this paper we propose the use of Fuzzy Cognitive Map (FCM), a well-established Artificial Intelligence technique that incorporates ideas from Artificial Neural Networks and Fuzzy Logic, for E-Commerce strategic planning. FCMs create models as collections of concepts and the various causal relations that exist between these concepts. The strategic planning capabilities of the FCM structure ar...

Fuzzy Cognitive Mapping (FCM) is a widely used participatory modelling methodology in which stakeholders collaboratively develop a 'cognitive map' (a weighted, directed graph), representing the perceived causal structure of their system. This can be directly transformed by a workshop facilitator into simple mathematical models to be interrogated by participants by the end of the session. Such s...

Fuzzy Cognitive Map (FCM) offers many advantages such intuitive knowledge representation and fast numerical reasoning ability, etc. It suits modeling and decision-making of dynamic systems. With the aims to effectively help to analyze and control system sustainable evolution, the paper defines the steady states of fixed point and limited cycle of a FCM modeling system. Accordingly, the rules of...