Fuzzy Neural Network Theory and Application

Granular computing, computational intelligence, and the analysis of non-geometric input spaces

“…Different many-valued logics (and corresponding set-theoretic frameworks) have been defined so far, such as rough sets (Pawlak 1982), intuitionistic fuzzy sets (Atanassov 1986), and the three-valued logic underlying shadowed sets (Pedrycz 1998). Well-known applications of fuzzy logic include rule-based (adaptive) fuzzy inference systems (Nauck et al 1997), modern evolutions of fuzzy neural networks Liu an Li 2004) and higherorder fuzzy systems (Zhou et al 2009;Pagola et al 2013;Wagner and Hagras 2010;Melin and Castillo 2013;Oh et al 2014).…”

A Survey on Automatic Defect Detection & Classification Technique from Image: A special case using ceramic tiles

“…In this section, defect detection on ceramic tile using extracted shape feature is proposed. H. Elbehiery et al [10] proposed techniques for detecting surface defects on ceramic tiles. Their algorithm is divided into two stages.…”

“…Defects are extracted from the background by thresholding the image and classified according to size and shape parameters. Existing machines commonly detect the following defaults [10], [11] The sensitivity of the imaging system is linked to the local roughness contrast induced by the defect; it has nothing to do with the color contrast. Because they rely on two independent physical properties of the material, color defects and surface defect inspection are complementary [10].…”

UXDs-Driven Transferring Method from TRIZ Solution to Domain Solution

“…For UXDs more operational, the algorithm of Means-Ends Analysis (Means-Ends Analysis: MEA) [9] is introduced to the process of UXD reproduction.…”