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https://www.sciencedirect.com/science/article/pii/S0895717713000769
The fuzzy rule base consists of fuzzy if–then (also called antecedent–consequence) rules. These rules are generated based on the concept of the domain rule of a data sample. For example, we take the following rule. If x 1 is A and x 2 is B, then y is C. Here, x 1 and x 2 are variables, y is a solution variable, and A, B, and C are fuzzy ...Cited by: 20
https://www.sciencedirect.com/science/article/pii/S1319157811000346
The proposed clinical decision support system for the risk prediction of heart patients consists of two phases: (1) automated approach for the generation of weighted fuzzy rules and (2) developing a fuzzy rule-based decision support system.Cited by: 207
http://onlinelibrary.wiley.com/doi/10.1111/rec.12325/abstract
May 11, 2016 · The fuzzy rule-based system translates expert knowledge of restoration specialists and forest managers into a set of simple logic rules that integrate information on individual indicators into more general evaluation criteria.
https://www.researchgate.net/publication/331293954_A_Fuzzy_Rule-Based_Decision_Support_System_for_Cardiovascular_Risk_Assessment
A fuzzy rule-based decision support system for cardiovascular risk 3 SpO2 is evaluated as the percentage of o xygen-saturated hemoglobin with respect to the total hemoglobin (unsaturated and ...
https://www.researchgate.net/publication/233784296_A_fuzzy_rule-based_decision_support_system_for_Duodopa_treatment_in_Parkinson
A decision support system (DSS) was implemented based on a fuzzy logic inference system (FIS) to provide assistance in dose alteration of Duodopa infusion in patients with advanced Parkinson’s ...
https://mospace.umsystem.edu/xmlui/bitstream/handle/10355/6569/research.pdf?sequence=3
IMPLEMENTATION OF A FUZZY RULE-BASED DECISION SUPPORT SYSTEM FOR THE IMMUNOHISTOCHEMICAL DIAGNOSIS OF SMALL B-CELL LYMPHOMAS presented by Gerald Arthur, a candidate for the degree of master of science, and hereby certify that, …
https://thesai.org/Downloads/Volume2No3/Paper%207-%20A%20Fuzzy%20Decision%20Support%20System%20for%20Management%20of%20Breast%20Cancer.pdf
In this section, we show the fuzzy decision support system designing, membership functions, fuzzy rule base, fuzzification and defuzzification. The most important application of fuzzy system (fuzzy logic) is in uncertain issues. When a problem has dynamic behavior, …
https://ui.adsabs.harvard.edu/abs/2000SPIE.4051..446O/abstract
The final fuzzy rule based system has been implemented as a Windows executable called Equity, which is freely available to download from the World Wide Web. A decision support tool has been developed that advises on approach and algorithm selection for automated data analysis systems.Author: Jane C. O'Brien, Mark D. Bedworth, Odin Taylor
https://link.springer.com/chapter/10.1007/978-3-642-32826-8_7
A well-designed clinical decision support system (CDSS), however, that provides accurate and understandable decisions would effectively help the physician in making an early and appropriate diagnosis. In this study, a CDSS for HD diagnosis is proposed based on a genetic-fuzzy approach that considers both the transparency and accuracy of the system.Cited by: 1
https://ui.adsabs.harvard.edu/abs/2016AGUFM.H13B1366C/abstract
Dec 01, 2016 · Fuzzy rule based system are capable of incorporating uncertainty and vagueness, when various decision making criteria expressed in linguistic terms are expressed as fuzzy rules. In this study a fuzzy rule based decision support system is developed, …Author: I. Chaubey, V. K. Vema, K. Sudheer
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