M. Last and A. Kandel, “Fuzzification and Reduction of Information-Theoretic Rule Sets”, in Data Mining and Computational Intelligence, A. Kandel, H. Bunke, and M. Last (Eds), Physica-Verlag, Studies in Fuzziness and Soft Computing, Vol. 68, pp. 63–93, 2001....
The centroid method is the most common in use. This method selects the output value corresponding to the centroid of the output membership function as the crisp value for an output. Show moreView chapter Book 2000, Soft Computing and Intelligent SystemsRAM-NANDAN P. SINGH Chapter Intelligent ...
D. Dubois and Prade, Gradual Elements in a Fuzzy Set, Soft Computing 12 (2008)... D. Dubois and Prade, Gradualness, uncertainty and bipolarity: Making sense of fuzzy sets, Fuzzy Sets and Systems 192... Fortin, J., Dubois, D. and Fargier, H., Gradual Numbers and Their Application to...
However, the study also found that there may be some potential benefits to using the FAHP approach, which warrant further investigation.doi:10.1007/s00500-023-09593-9Ahmed, FaranKilic, KemalSpringer Berlin HeidelbergSoft Computing - A Fusion of Foundations, Methodologies & Applications...
Rudolf Seising, 2007, The Fuzzification of Systems - The Genesis of Fuzzy Set Theory and its Initial Applications - Developments up to the 1970s, Studies in Fuzziness and Soft Computing, Springer-Verlag, Heidelberg, New York.Seising, R.: The Fuzzification of Systems: The Genesis of Fuzzy ...
V. Dobric, "Fuzzification of boolean networks," in Decision Making and Soft Computing--Proceedings of the 11th Interna- tional FLINS Conference, R. M. De Moraes, E. E. Kerre, L. Dos Santos Machado, and J. Lu, Eds., pp. 276-281, World Scientific, Singapore....
Soft Methods for Integrated Uncertainty Modelling Advances in Soft ComputingColubi, A., González-Rodríguez, G., Lubiano, M.A., Montenegro, M.: Exploratory analysis of random variables based on fuzzification. In: Lawry, J., Miranda, E., Bugarin, A., Li, S., Gil, M.A., Grzegorzew...
Intersection is achieved by implementing a simple one-quadrant nultiplier at the output stage of the circuit.L.J.Mc DaidT.M.McGinnityL.MaguireInternational conference on soft computing
The proposed SFC technique achieves a dramatic reduction in the complexity of fuzzy controllers by reducing the multi-dimensional fuzzification problem to aone-dimensional space.doi:10.1080/10798587.2000.10642813Elshafei, MAhmed, M.STaylor & FrancisIntelligent Automation & Soft Computing...
A Fuzzy based soft computing approach is been implemented on multiple parameters to predict the heart disease. In this paper, a fuzzy database management system is introduced to diagnose the severity of the heart disease of apatient by using existing data in the common database systems. Crisp ...