A new approach for the construction of Fuzzy Cognitive Maps augmented by knowledge through fuzzy rule-extraction methods for medical decision making is investigated. This new approach develops an augmented Fuzzy Cognitive Mapping based Decision Support System combining knowledge from experts and knowledge from data in the form of fuzzy rules generated from rule-based knowledge discovery methods...

Learning Management Systems (LMSs) under blended (b-) learning modality can efficiently support online learning environments (OLEs) at Higher Education Institutions (HEIs). Mining of LMS users’ data, involving artificial intelligence and incertitude modeling, e.g., via fuzzy logic, is a fundamental challenge. This study addresses the hypothesis that the structural characteristics of a Fuzzy Cog...

Background: Medical practice is usually performed in a context of uncertainty, where expert knowledge has shown to be efficient in the decision-making process. Objective: The aim of this study was to develop and validate a fuzzy logic-based model to predict cardiac surgery mortality risk. Methods: Four hundred and fifty patients undergoing cardiac surgery were prospectively included in the stud...

This work investigates the yield and yield variability prediction in cotton crop. Cotton crop management is a complex process with interacting parameters like soil, crop and weather factors. The soft computing technique of fuzzy cognitive maps (FCMs) was used for modeling and representing experts’ knowledge. FCM, as a fusion of fuzzy logic and cognitive map theories, is capable of dealing with ...

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.

This paper presents a comparison between fuzzy cognitive maps (FCM) and the fuzzy analytic network process (FANP) as two well-known techniques to model causality during the process of assessing readiness of an organisation to implement a change. FCM is well known generally, but has been rarely used in assessing readiness for change. In this paper, we demonstrate several advantages of FCM for ch...

INTRODUCTION: The outbreak of COVID-19 has gained ground in many countries, leading towards a global health emergency. Research efforts have been intensified all around the humankind. OBJECTIVE: main objective this paper is to study new pandemic using for first-time theori

Fuzzy Cognitive Maps (FCM) have found favor in a variety of theoretical and applied contexts that span the hard and soft sciences. Given the utility and flexibility of the method, coupled with the broad appeal of FCM to a variety of scientific disciplines, FCM have been appropriated in many different ways and, depending on the academic discipline in which it has been applied, used to draw a ran...