Medical Decision Making through Fuzzy Computational Intelligent Approaches
نویسنده
چکیده
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. Fuzzy Cognitive Mapping (FCM) is a fuzzy modeling methodology based on exploiting knowledge and experience from experts. The FCM accompanied with knowledge extraction and computational intelligent techniques, contribute to the development of a decision support system in medical informatics. The proposed approach is implemented in a well-known medical problem for assessment of treatment planning decision process in radiotherapy.
منابع مشابه
Hongmei He (intelligent System Lab, University of Bristol): Soft Computing Approaches under the Framework of Hierarchical Decision Making or Classification System
Hongmei He (Intelligent System Lab, University of Bristol): Soft Computing Approaches Under the Framework of Hierarchical Decision Making or Classification System With the development of AI, we can see there are a surprising number of the brain functions of the human Intelligent System (IS) are quite similar to those of an artificial IS, since most artificial ISs are modelled through naturally ...
متن کاملProperties of fuzzy relations and aggregation process in decision making
In this contribution connections between input fuzzy relations R1, . . . ,Rn on a set X and the output fuzzy relationRF = F(R1, . . . ,Rn) are studied. F is a function of the form F : [0, 1]n → [0, 1] and RF is called an aggregated fuzzyrelation. In the literature the problem of preservation, by a function F, diverse types of properties of fuzzy relationsR1, . . . ,Rn is examined. Here, it is c...
متن کاملNeutrosophic Application for Decision Logic in Robot Intelligent Control Systems
The paper presents the research undertaken for extending the functionality of a regular fuzzy multi-input decision support system through the application of basic neutrosophy principles. The application is designed and simulated using tools already available for the fuzzy implementation, adapted to the requirements of the neutrosophic extension. The results show an increase in the decision clas...
متن کاملA type 2-hesitation fuzzy logic based multi-criteria group decision making system for intelligent shared environments
Intelligent environments aim to maximize the user comfort and safety while achieving other objectives such as energy minimization. Intelligent shared spaces (such as homes, classrooms, offices, libraries, etc.) need to consider the preferences of users from diverse backgrounds. However, there are high levels of uncertainties faced in intelligent shared spaces. Hence, there is a need to employ i...
متن کاملSupplier Selection and Evaluation by Fuzzy Multi-Criteria Decision Making Methodology
In this study, an outsourcer evaluation and management system is developed for a manufacturing company by use of Fuzzy goal programming (FGP). A first phase of the methodology evaluation criteria for outsources and the objectives of the company are determined. Considering the fuzziness in the decision data, linguistic variables that can be expressed in generalized fuzzy number are used. The pro...
متن کامل