The goal of this work is self-perception modeling of autonomous agents in virtual story telling. It’s inspired from work of psychologists and neuro-physiologists. From psychology , we use fuzzy cognitive maps (FCM) to model and implement believable agents’ behaviours. These cognitive maps allow us to give not only sensation but also perception, in the sense that our agents perceive environment ...

Requirements elicitation step is of paramount importance in the requirements engineering process. In the distributed environment of so-called inter-company cooperative information system, this step is a thorny issue. To elicit requirements for an inter-company cooperative information system, we early proposed a methodology called MAMIE (from MAcro to MIcro level requirements Elicitation) with a...

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...

This paper presents a computer-based model for differential diagnosis of specific language impairment (SLI), a language disorder that, in many cases, cannot be easily diagnosed. This difficulty necessitates the development of a methodology to assist the speech therapist in the diagnostic process. The methodology tool is based on fuzzy cognitive maps and constitutes a qualitative and quantitativ...

In this paper, the decision making problems with the dependence and the feedback effects are considered. Although the analytic network/hierarchy process (ANP/AHP) has been proposed to deal with the problems above, several problems make the method impractical. In this paper, we proposed the fuzzy decision maps (FDM), which incorporates the eigenvalue method, the fuzzy cognitive maps (FCM), and t...

A fuzzy cognitive maps (FCM) is a cognitive map within the relations between the elements. FCM has been widely used in many applications such as experts system and knowledge engineering. However, classical FCM is inherently short of sufficient capability of representing and aggregating uncertain information. In this paper, generalized FCM (GFCM) is proposed based on genetic algorithm and interv...

This paper aims at studying at length the various reasons for miracles with incidents from the Holy Bible adopting the Neutrosophic Cognitive Maps , a generalization of Fuzzy Cognitive Maps. The content gives preliminaries of FCM and NCM with a descriptive account of the problem and the various miracles witnessed in the Bible using NCM. The data acquired is collated to conclude on the most esse...

Fuzzy Cognitive Map (FCM) technique is broadly used for decision making and predictions by experts and scientists of a wide range of disciplines. The use of the FCMs would be even wider if a standardized representation of FCMs was developed and a system that would simulate them was constructed. Having such a system, decision makers would be able to create and examine their own developed Fuzzy C...

This paper focuses on the Rule Based Fuzzy Cognitive Maps (RB-FCM) potential to model the dynamics of qualitative real-world systems that include feedback links. It presents a general overview of RB-FCM and proposes a set of possible concepts and relations. It also provides guidelines to introduce time as an important qualitative entity in cognitive maps.

Enterprise resource planning (ERP) systems are very costly and difficult to be implemented. Organizations need to be ready for implementing them. They require assessing their current readiness and then, they can perform a range of activities to improve their readiness. The ERP readiness is influenced by many factors which are interrelated and any improvement in one of them has direct and indire...