An intuitionistic fuzzy cognitive map (IFCM) is an extension of a fuzzy cognitive map (FCM)
that forms a graph-oriented fuzzy map describing both causal relationships between pairs of …

Uncertainty and imprecision characterize human cognitive and reasoning processes. Fuzzy
cognitive maps (FCMs) are computationally simple yet effective structures to approximately …

As a novel generalization of fuzzy cognitive map (FCM), interval-valued FCM (IVFCM) can
provide more flexibility in modeling that increasingly complex system with uncertainty …

Fuzzy cognitive maps (FCMs) are used to aid decision-making in complex highly nonlinear
problems dealing with uncertainty. In FCMs, decision concepts are linked in order to …

Intuitionistic fuzzy sets (IFSs) are essential in the multi-criteria decision making (MCDM)
under uncertain environment. However, how to reasonably aggregate them with considering …

Abstract Fuzzy Petri nets (FPNs) have many successes in various applications as an
important modeling technique for knowledge representation and reasoning. However, in the …

Intuitionistic fuzzy set (A-IFS) introduced by Atanassov, a generalized form of fuzzy sets, is a
useful tool to deal with vagueness and ambiguity. Each element of an A-IFS is called an …

We discuss fuzzy implications of fuzzy cognitive map (FCM), which has been used in various
fields for representing causal knowledge. To accomplish this objective, fuzzy implications of …

Traditionally, the information related to an element is collected either by an intuitionistic
fuzzy set (IFS) or interval-valued IFS (IVIFS) which may lose some useful information and …

Medical decision making can be regarded as a process, combining both analytical cognition
and intuition. It involves reasoning within complex causal models of multiple concepts …