scholarly journals Comparative Study of Type-1 Fuzzy Logic and Type-2 Fuzzy Logic

2015 ◽  
Vol 124 (16) ◽  
pp. 14-21
Author(s):  
Neeru Lalka ◽  
Sushma Jain
Keyword(s):  
Fuzzy Logic ◽  
Comparative Study

Parameter Prediction Based on Type-2 Fuzzy Clustering

2018 ◽  
Vol 26 (06) ◽  
pp. 877-892 ◽  
Author(s):  
Türkan Erbay Dalkiliç ◽  
Seda Sağirkaya
Keyword(s):  
Fuzzy Logic ◽  
Regression Analysis ◽  
Fuzzy Clustering ◽  
Alternative Methods ◽  
Data Set ◽  
Clustering Problem ◽  
Fuzzy Clustering Method ◽  
Parameter Prediction

In regression analysis, the data have different distributions which requires to go beyond the classical analysis during the prediction process. In such cases, the analysis method based on fuzzy logic is preferred as alternative methods. There are couple important steps in the regression analysis based on fuzzy logic. One of them is identification of the clusters that generate the data set, the other is the degree of memberships that are determined the grades of the contributions of the data contained in these clusters. In this study, parameter prediction based on type-2 fuzzy clustering is discussed. Firstly, type-1 fuzzy clustering problem was solved by the fuzzy c-means (FCM) method when the fuzzifier index is equal to two. Then the fuzzifier index m is defined as interval number. The membership degrees to the sets are determined by type-2 fuzzy clustering method. Membership degree obtained as a result of clustering based on type-1 and type-2 fuzzy logic are used as weight and parameter prediction using these membership degrees that determined by the proposed algorithm. Finally, the prediction result of the type-1 and type-2 fuzzy clustering parameter is compared with the error criterion based on the difference between observed values and the predicted values.

scholarly journals A Comparative Study of Type 1 Singleton Fuzzy Logic Systems in Machining Application

2014 ◽  
Vol 82 (1) ◽  
pp. 105-117 ◽  
Author(s):  
Pascual Noradino Montes Dorantes ◽  
Marco Aurelio Jiménez Gómez ◽  
Xavier Cantú Rodriguez ◽  
Gerardo Maximiliano Méndez
Keyword(s):  
Fuzzy Logic ◽  
Comparative Study ◽  
Fuzzy Logic Systems ◽  
Logic Systems
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