2017
DOI: 10.4018/978-1-5225-1848-8.ch002
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Some Recent Defuzzification Methods

Abstract: Defuzzification is a process that converts a fuzzy set or fuzzy number into a crisp value or number. Defuzzification is used in fuzzy modeling and in fuzzy control system to convert the fuzzy outputs from the systems to crisp values. This process is necessary because all fuzzy sets inferred by fuzzy inference in the fuzzy rules must be aggregated to produce one single number as the output of the fuzzy model.There are numerous techniques for defuzzifying a fuzzy set; some of the more popular techniques are incl… Show more

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Cited by 15 publications
(7 citation statements)
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“…Thus, we obtain a matrix of TFNs of each analysed group, which contains a lot of information that is difficult to analyse. Therefore, in agreement with Kumar [27], the matrix is defuzzified into a matrix of real and clear information since the uncertainty and vagueness of the information have been adequately managed. Crisp values are then obtained through the weighted average of the 3-tuple calculated as follows:…”
Section: Methodology 41 Fuzzy-hybrid Topsis Approachmentioning
confidence: 92%
See 1 more Smart Citation
“…Thus, we obtain a matrix of TFNs of each analysed group, which contains a lot of information that is difficult to analyse. Therefore, in agreement with Kumar [27], the matrix is defuzzified into a matrix of real and clear information since the uncertainty and vagueness of the information have been adequately managed. Crisp values are then obtained through the weighted average of the 3-tuple calculated as follows:…”
Section: Methodology 41 Fuzzy-hybrid Topsis Approachmentioning
confidence: 92%
“…In this study, a hybrid method based on a fuzzy approach and technique of similarity to ideal solution (TOPSIS) is used to measure the citizens' attitudes toward immigrants. This approach has had a growing interest in many fields, such as the hotel industry [27], education [8], green energy [28], logistics [29], social sciences [30], agriculture [31], and healthcare [31].…”
Section: Methodology 41 Fuzzy-hybrid Topsis Approachmentioning
confidence: 99%
“…Thus, the information matrix is processed through a clarification or defuzzification method to synthesize the information before applying other type of analysis, like, for example, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) or the segment-attribute analysis. A good overview of the different existing defuzzification techniques that exist can be consulted in Kumar (2017). In essence, the idea is to convert the fuzzy information into a plausible or credible real number – crisp information.…”
Section: Methodsmentioning
confidence: 99%
“…Dhanasekar, Rani, and Annamalai [19] regard the cost of transportation units as a trapezoidal intuitionistic fuzzy number (TRIFN) in the transportation industry and use fractions and fractional expectation functions to rank the costs effectively, solving the problem of incomplete and uncertain information. Kumar [20,21] proposed that blurring is a process of converting fuzzy sets or numbers into clear values or numbers. By using fuzzy modeling and fuzzy control systems, the fuzzy output of the system is transformed into clear values, and a blurring method is proposed.…”
Section: Fuzzy Evaluationmentioning
confidence: 99%