Intuitionistic Fuzzy Cognitive Maps for Medical Decision Making

Medical decision making can be regarded as a pro- cess, combining both analytical cognition and intuition. It involves reasoning within complex causal models of multiple concepts, usu- ally described by uncertain, imprecise, and/or incomplete informa- tion. Aiming to model medical decision making, we propose a novel approach based on cognitive maps and intuitionistic fuzzy logic. The new model, called intuitionistic fuzzy cognitive map (iFCM), extends the existing fuzzy cognitive map (FCM) by considering the expert's hesitancy in the determination of the causal relations between the concepts of a domain. Furthermore, a modification in the formulation of the new model makes it even less sensitive than the original model to missing input data. To validate its effective- ness, an iFCM with 34 concepts representing fuzzy, linguistically expressed patient-specific data, symptoms, and multimodal mea- surements was constructed for pneumonia severity assessment. The results obtained reveal its comparative advantage over the respec- tive FCM model by providing decisions that match better with the ones made by the experts. The generality of the proposed approach suggests its suitability for a variety of medical decision-making tasks. Index Terms—Fuzzy cognitive maps (FCM), fuzzy logic, intu- itionistic fuzzy sets (IFSs), medical decision support.

...Recent advances in field include an intuitionistic fuzzy Petri net model and reasoning algorithm [6], and an extension of the fuzzy cognitive map (FCM) model for intuitionistic fuzzy reasoning [7]...
...In [7] IFSs have been used to define fuzzy relations between the concepts including the hesitancy of the experts in defining such relations during the construction of an intuitionistic FCM (iFCM)...
...The improved results obtained with the iFCM in comparison with the conventional FCM approach on a real application for medical decision support [7] motivated us to investigate an enhanced iFCM model for decision support...
...Section II briefly describes the previous iFCM approach [7], to which we will refer to as iFCM-I, and presents the novel iFCM approach for intuitionistic fuzzy reasoning...
...Similarly to a conventional FCM [10], iFCM-I models a decision making task as a graph [7]...
...The reasoning process with iFCM-I involves iterative calculation of the following equation until a steady state is reached [7]:...
...For this application, the concepts take two, three, four or five possible discrete or fuzzy values [7]...
...In iFCM-I, as noted in [7], the concepts with unknown values are set to 0.5, i.e...

Keywords (12)

Intuitionistic Fuzzy Cognitive Maps for Medical Decision Making,10.1109/TITB.2010.2093603,IEEE Transactions on Information Technology in Biomedicine,D

Citation Context (2)

Dimitris K. Iakovidis, et al. Intuitionistic fuzzy reasoning with cognitive maps

Elpiniki I. Papageorgiou. Review study on fuzzy cognitive maps and their applications during the...

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Intuitionistic fuzzy reasoning with cognitive maps

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Specification, analysis and generation of a reusable FMS flight planning architecture


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