In this paper, we consider fuzzy inventory with backorder. First, we fuzzify the storing cost a, backorder cost b, cost of placing an order c, total demand r, order quantity q, and shortage quantity s as the triangular fuzzy numbers in the total cost. From these, we can obtain the fuzzy total cost. Using the signed distance method to defuzzify, we get the estimate of the total cost in the fuzzy...

Using fuzzy logic technique images. The suggested method is introduced for the using a combination of fuzzy algorithm. The fuzzification of underexposed region has been carried o membership function and for fuzzifying function is found suitable. been defined for both underexposed and overexposed saturation and intensity (HSV) color space is used for the trans from RGB to HSV space without chang...

The scale and rotation invariance properties of a recently proposed algorithm, using the fuzzy evidence accumulation principle, for finding lines (ridges) of non-parametric shapes is analysed. The proposed modifications consist in scaling the accumulated value with the inverse of the line width and further fuzzifying the accumulation process – along the line width. Good invariance properties re...

Introduction and motivation To explain the motivation of our work we give a short glimpse into the history of Fuzzy Topology called more recently Lattice-Valued Topology or Many Valued Topology. In 1968, C. L. Chang [1] introduced the notion of a fuzzy topology on a set X as a subset τ ⊆ [0, 1] satisfying the natural counterparts of the axioms of topology: (1) 0X , 1X ∈ τ ; (2) U, V ∈ τ ⇒ U ∧ V...

This paper presents a novel method which automatically detects differences in colon cell images, extracts the required texture data and then classifies the cells into normal or malignant. The images are captured by a CCD camera from a laboratory microscope slide. The new system is implemented by fuzzifying image texture descriptors from the Fourier power spectrum and greyscale statistical co-oc...