Intelligence and Fuzzy Cognitive Maps: Scientific Issues, Challenges and Opportunities

Issues on the Stability of Fuzzy Cognitive Maps and Rule-Based Fuzzy Cognitive Maps

This paper focus several stability issues regarding the modeling of the dynamics of qualitative real world systems, and the ability of Fuzzy Cognitive Maps and Rule -Based Fuzzy Cognitive Maps to provide a faithful modeling in what concerns the stability properties of those systems. It also introduces the concept of Intrinsic Stability as a necessary property of qualitative system dynamics mode...

Fuzzy Cognitive Maps Learning through Swarm Intelligence

A technique for Fuzzy Cognitive Maps learning, which is based on the minimization of a properly defined objective function using the Particle Swarm Optimization algorithm, is presented. The workings of the technique are illustrated on an industrial process control problem. The obtained results support the claim that swarm intelligence algorithms can be a valuable tool for Fuzzy Cognitive Maps l...

Islam; Challenges and Opportunities

Undoubtedly Islamic Revolution of Iran has been the source of Islamic awakening in the middle-east. Therefore Islamic Republic of Iran plays the role of an example and a director of political developments in the region. Islamic awakening in Arab countries has been able to question the dominant discourse of dictators in the middle-east region and topple their regimes. These developments include ...

Dynamic Business Intelligence, Automated Decision Making with Fuzzy Cognitive Maps

This paper presents an application of fuzzy cognitive maps to model business knowledge and automate decisions made upon it. We remark the importance of this knowledge representation as a tool that couples with current business intelligence strategies and acts as an inference engine, capable of encoding business rules and automating e-commerce systems.

Issues and Challenges to Socialization of Academic Norms in Scientific Communities in Iran