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 work investigates the process of yield prediction in cotton crop production using the soft computing technique of fuzzy cognitive maps. Fuzzy cognitive map (FCM) is a fusion of fuzzy logic and cognitive map theories, and is used formodeling and representing experts’ knowledge. It is capable of dealingwith situations including uncertain descriptions using similar procedure such as human rea...

The report of the World Health Organization (WHO) about poor accessibility people living in low-to-middle-income countries to medical facilities and personnel has been a concern both professionals nonprofessionals healthcare. This led high morbidity mortality rates tropical regions, especially when such disease presents itself with confusable symptoms that are not easily differentiable by inexp...

Hazardous industrial operations are highly stochastic, still human-dependent, and risky. Operators working in such an environment must understand the complex interrelation between several factors contributing to safe effective operations. Therefore, being able predict effects of their actions on provoking or mitigating possible accidents is crucial. This study aims utilize fuzzy cognitive maps ...

Fuzzy Cognitive Maps (FCM) are a proper knowledge-based tool for modeling and simulation. They are denoted as directed weighted graphs with feedback allowing causal reasoning. According to the transformation function used for updating the activation value of concepts, FCM can be grouped in two large clusters: discrete and continuous. It is notable that FCM having discrete outputs never exhibit ...

The normative literature within the field of Knowledge Management has tended to concentrate on techniques and methodologies for codifying knowledge. Similarly, the literature on organizational learning, focuses on aspects of those knowledge that are pertinent at the macro-organizational level (i.e. the overall business). There remains little published literature on how knowledge management and ...