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https://www.sciencedirect.com/science/article/pii/S0895717713000769
Like any other system, fuzzy logic scheme has its own drawbacks. Developing fuzzy rules for a system requires experience from field experts, experimental results, and theoretical derivations to make the system effective . In some cases, experts may even need to be put on site to be sure about the characteristics that may affect the whole system ...Cited by: 20
https://onlinelibrary.wiley.com/doi/10.1111/jep.13302
The design of a fuzzy inferential system (FIS) requires, first of all, the definition of the domain knowledge in cooperation with clinical experts by means of interviews, questionnaires, and observation of their day‐by‐day clinical practice. 21 The domain of knowledge embedded into the decision mechanism of the system has been described in ...Author: Giovanni Improta, Valeria Mazzella, Donatella Vecchione, Stefania Santini, Maria Triassi
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, fuzzy logic is a suitable tool that deals with this problem.
https://ieeexplore.ieee.org/document/7975310/
Aug 14, 2016 · Hence there is a need to introduce an decision support system (DSS), which would take correct decisions based on the inputs. This paper presents the design and implementation of fuzzy logic based decision support system. Fuzzy logic mimics the human decisions as per the inputs. So the chances of propofol being infused wrongly are minimized.
https://www.researchgate.net/publication/221399203_Fuzzy_Logic_Based_Decision_Support_Systems
Fuzzy decision support systems have been studied for years in many aspects [12, 13]. As stated before evaluation of maneuver decision is considered to be suitable for fuzzy inference system ...
http://www.globalscientificjournal.com/researchpaper/TYPIFIED_FUZZY_LOGIC_DECISION_SUPPORT_SYSTEM_FLDSS_FOR_E_GOVERNANCE_IN_WEST_NIGERIA.pdf
artisan-related processes. A Fuzzy-logic based algorithm was implemented in ranking business viability and subsequent loan disbursement. Results from IMSA as Fuzzy Logic Decision Support System (FLDSS) shows that all bias and partiality in loan disbursements would be eliminated while enforcing an impartiality in selection processes.
http://www.swdsi.org/swdsi05/Proceedings05/paper_pdf/Fuzzy%20Logic%20Decision%20Support%20(F1A1).pdf
A Fuzzy Logic Decision Support Algorithm for Multi-cell Flexible Manufacturing Systems H. Joseph Wen Department of Accounting and Management Information Systems Harrison College of Business Southeast Missouri State University Cape Girardeau, Missouri 63701, USA Phone: 573-651-2908 E-mail: [email protected] H. Lisa Huang
https://www.sciencedirect.com/science/article/pii/S0167923603001180
Therefore, based on the concepts of decision support system (DSS), we developed an integrated framework that incorporates fuzzy theory into strategic portfolio selection. This framework provides managers with a flexible, expandable and interactive DSS to select projects for portfolio management.Cited by: 168
https://www.mathworks.com/help/fuzzy/what-is-fuzzy-logic.html
In a narrow sense, fuzzy logic is a logical system, which is an extension of multivalued logic. However, in a wider sense fuzzy logic (FL) is almost synonymous with the theory of fuzzy sets, a theory which relates to classes of objects with unsharp boundaries in which membership is a matter of degree.
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