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A survey of defuzzification strategies

International Journal of Intelligent Systems, 2001
The authors revisit the defuzzification problem and they propose a few inquiries into the nature of defuzzification. The authors first give a brief survey of the main defuzzification schemes that have been proposed during the last few years. They still find that COG (center of gravity) and MOM (mean of maxima) remain standard defuzzification operators ...
Shounak Roychowdhury, Witold Pedrycz
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Defuzzification in Fuzzy Controllers

Journal of Intelligent & Fuzzy Systems, 1993
An important subject in fuzzy control theory is tuning of a fuzzy controller. If one wants to tune a fuzzy controller, one can focus on the choice of rules, membership functions, number of input and output fuzzy sets and their degree of overlapping, implication, and connection operations, and defuzzification method.
Hans Hellendoorn, Christoph Thomas
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THE RADIAL DEFUZZIFICATION

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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Partition validity and defuzzification

Fuzzy Sets and Systems, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Antonio Flores-Sintas   +2 more
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Note on “A new approach for defuzzification”

Fuzzy Sets and Systems, 2002
The authors show by an example that Definition 3 in \textit{M. Ma, A. Kandel} and \textit{M. Friedman}'s paper [Fuzzy Sets Syst. 111, 351-356 (2000; Zbl 0968.93046)] does not give a metric.
Saeid Abbasbandy, B. Asady
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SET DEFUZZIFICATION AND CHOQUET INTEGRAL

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001
In 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.
Yukio Ogura, Shoumei Li, Dan A. Ralescu
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Defuzzification using Steiner points

Fuzzy Sets and Systems, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thomas Vetterlein, Mirko Navara
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A note on the set-theoretical defuzzification

Fuzzy Sets and Systems, 1998
The set-theoretic defuzzification (SD) method has been claimed to be a rational defuzzification method which is exclusively based on the fuzzy set theory [J. Valente de Oliveira, Fuzzy Sets and Systems 76 (1995) 63]. However, this paper shows the examples that the method is not applicable with general t-norms and t-conorms.
Kim, JK Kim, Jong-Kyou   +2 more
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A defuzzification method respecting the fuzzification

Fuzzy Sets and Systems, 1997
Abstract When designing a fuzzy controller, the first thing to do is to choose input and output fuzzifications. The next step consists of building the fuzzy rules table describing the behaviour of the controller. Finally, in order to convert the fuzzy output in a usable form, we need to select a defuzzification strategy.
L. Rondeau   +3 more
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Defuzzification in Scenario Management

2023
It 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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