Results 151 to 160 of about 7,859 (213)
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International Journal of General Systems, 1999
Abstract Defuzzification is a problem of optimal selection of an element from a fuzzy set. Recently, we were able to show how neighboring elements can influence and contribute to make a better selection. In this paper we propose a method of defuzzification that uses the interactions among neighboring elements and the selective transformation.
SHOUNAK ROYCHOWDHURY +2 more
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Abstract Defuzzification is a problem of optimal selection of an element from a fuzzy set. Recently, we were able to show how neighboring elements can influence and contribute to make a better selection. In this paper we propose a method of defuzzification that uses the interactions among neighboring elements and the selective transformation.
SHOUNAK ROYCHOWDHURY +2 more
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SET DEFUZZIFICATION AND CHOQUET INTEGRAL
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001In this paper, we discuss the defuzzification problem. We first propose a set defuzzification method, (from a fuzzy set to a crisp set) by using the Aumann integral. From the obtained set to a point, we have two methods of defuzzification. One of these uses the mean value method and the other uses a fuzzy measure.
Ogura, Yukio +2 more
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Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 2002
Till now the problem of defuzzification has not been explained very specifically. Conceptually it is not as simple a problem as it looks. It is one of fundamental problems of selection and decision making. In this paper the authors attempt to understand the problem from the perspective of the neighbors.
S. Roychowdhury, B.H. Wang, S.K. Ahn
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Till now the problem of defuzzification has not been explained very specifically. Conceptually it is not as simple a problem as it looks. It is one of fundamental problems of selection and decision making. In this paper the authors attempt to understand the problem from the perspective of the neighbors.
S. Roychowdhury, B.H. Wang, S.K. Ahn
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A note on defuzzification of type-2 fuzzy intervals
Fuzzy Sets Syst., 2020In this paper, we introduce a new form of defuzzification for a type-2 fuzzy interval over a referential interval [ a , b ] . This new procedure is performed in two steps: First, calculating the (crisp set) α-level average of the type-2 fuzzy interval ...
H. Román-Flores +2 more
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Defuzzification using most typical values
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1998A new approach for the defuzzification process, based on the Most Typical Value (MTV) concept, is being introduced and investigated. It assumes that the single decision, based on the output fuzzy subset, should represent a typical value of this set, rather than a numerical "central tendency" of its elements.
A, Kandel, M, Friedman
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VARIOUS DEFUZZIFICATION METHODS FOR TRAPEZOIDAL DENSE FUZZY SETS
Advances in Mathematics: Scientific Journal, 2020A BSTRACT . This present study extends the dense fuzzy sets (FS) into the Trape-zoidal Dense Fuzzy Sets (TpDFS) and it deals with various defuzzification meth-ods based on α -cuts, area of compensation and graded mean integration method Here, Cauchy’s ...
S. Swethaa, A. Felix
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Intuitionistic fuzzy c-control charts using defuzzification and likelihood methods
Journal of Intelligent & Fuzzy Systems, 2020Control chart is one of the statistical methods to analyze the process. The use of fuzzy sets in control charts, which are divided into qualitative and quantitative data, has been applied in many studies recently.
Hatice Ercan Teksen, A. Anagün
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Averaging procedures in defuzzification processes
Fuzzy Sets and Systems, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Roventa, Eugene, Spircu, Tiberiu
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Defuzzification in Scenario Management
2023It is virtually a truism that companies should respond to situations of high complexity, dynamics and contingency with strategic management measures. Not least in turbulent VUCA-type environments, the company is well advised to use alternative scenarios for environmental forecasting. The so-called scenario technique is used for this purpose.
Spengler, Thomas, Herzog, Sebastian
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Defuzzification techniques for fuzzy controllers
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2000Based on the features and disadvantages of the commonly used defuzzification techniques and on the elements involved in the structure of a fuzzy controller, a new and advantageous defuzzification technique is introduced and justified. This is done by integrating the defuzzification problem into the global structure of fuzzy controllers. Another related
J J, Saade, H B, Diab
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