Abstract
This paper presents the implementation of a non-iterative General Type-2 (GT2) Fuzzy Logic System (FLS) in quality assurance by image processing using Mamdani singleton model based on Wagner-Hagras (WH) algorithm. The antecedents and consequents are modelled and remain fixed. The modelling of the rule base uses the Central Composite Design (CCD) model to create a classifier in an industrial quality area. Results show that the implementation of the WH GT2FLS model provides very close or better results with a few alpha-cut versus an Interval Type-2 model (IT-2) FLS system depending on the type of membership function selected for the system.
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Montes Dorantes, P.N., Mendez, G.M. (2023). Non-iterative Wagner-Hagras General Type-2 Mamdani Singleton Fuzzy Logic System Optimized by Central Composite Design in Quality Assurance by Image Processing. In: Castillo, O., Kumar, A. (eds) Recent Trends on Type-2 Fuzzy Logic Systems: Theory, Methodology and Applications. Studies in Fuzziness and Soft Computing, vol 425. Springer, Cham. https://doi.org/10.1007/978-3-031-26332-3_13
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