Determination of the threshold value β of variable precision rough set by fuzzy algorithms

Neuro-Fuzzy Supervised Training Algorithm for Varied Chicken Disease Recognition

“…Fuzzy classification assumes the boundary between two neighboring classes as a continuous, overlapping area within which an object has partial membership in each class (Kuang et al, 2011 neural networks (Gutiérrez, 2011), as an interconnected group of artificial neurons, which carries out computation using a connectionist approach. Typically, a biological neural system consists of several layers, each with a large number of neural units (neurons) that can process the information in a parallel manner.…”

A multi-attribute decision-making model for the robust classification of multiple inputs and outputs datasets with uncertainty

“…Furthermore, Ziarko [31] defined the ˇ value as a classification error and it was defined to be in the domain [0.0, 0.5). However, An et al [35] and other researchers [36,37] used ˇ to denote the proportion of correct classifications, in such case the appropriate range is (0.5,1.0]. They referred this technique as 'Enhanced RST'.…”

“…Then, the corresponding linear membership function is defined and the minimum operator proposed by Bellman and Zadeh [50] is applied to combine all objective functions. Accordingly, in the fuzzy set theory, literatures [51,37,[52][53][54] used the standard fuzzy intersection, which represents a form of limiting factor analysis by applying the minimum operator. Thus, in the FVM-index method proposed in this study, the minimize operator is used to aggregate the membership function values of the M decision attributes.…”

Soft-computing: An Objective Approach in Varied Diabetes Recognition

“…Fuzzy classification assumes the boundary between two neighboring classes as a continuous, overlapping area within which an object has partial membership in each class (Kuang et al, 2011). Fuzzy logic highlights the significant of most applications in which categories have fuzzy boundaries, but also provides a simple representation of the potentially complex partition of the feature space.…”