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Weighted triangular approximation of fuzzy numbers
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Wenyi Zeng
exaly +3 more sources
On approximating shortest paths in weighted triangular tessellations [PDF]
We study the quality of weighted shortest paths when a continuous 2-dimensional space is discretized by a weighted triangular tessellation. In order to evaluate how well the tessellation approximates the 2-dimensional space, we study three types of shortest paths: a weighted shortest path $ \mathit{SP_w}(s,t) $, which is a shortest path from $ s $ to $
Bose, Prosenjit +3 more
core +8 more sources
The Best Approximation of Generalized Fuzzy Numbers Based on Scaled Metric [PDF]
The ongoing study has been vehemently allocated to propound an ameliorated α-weighted generalized approximation of an arbitrary fuzzy number. This method sets out to lessen the distance between the original fuzzy set and its approximation.
Tofigh Allahviranloo +5 more
doaj +2 more sources
Fast triangular binning kernel approximations for weighted gradient histogram creation
The implementation of weighted gradient histograms are studied. Such histograms are commonly used in computer vision methods, and their creation can make up a significant portion of the computational cost. Further, due to potentially severe aliasing, non-uniform binning kernels are desirable.
Kristensen, Johan, Nilsson, John-Olof
openaire +4 more sources
Modelling of Evenness of Runways as an Element of Sustainable Airport Maintenance
The elevation of airport runways is specified in the operations manuals and in globally accepted design guidelines. Airport runways are constantly exposed to various physical and weather factors.
Drago Sever +2 more
doaj +1 more source
Nodal SN-method for HEX-Z geometry
The problem of spatial approximation becomes very important in the solution of neutronics problems with coarse spatial grids, in particular, in the calculations of fuel assemblies of fast reactors (for instance, BN-800 and BN-1200 reactors) with ...
V.P. Bereznev
doaj +1 more source
The fuzzy Analytical Hierarchy Process (AHP) is a method in fuzzy decision-making, which helps decision makers make the best choice of alternatives when dealing with uncertainty.
Nik Muhammad Farhan Hakim Nik Badrul Alam +2 more
doaj +1 more source
Aggregation operators (AOs) are well-known and efficient mathematical tools that are utilized to overcome the impact of imprecise and vague information during the aggregation process.
Abrar Hussain +5 more
doaj +1 more source
This study focuses on MATLAB code programs of the entire stages of solving Stochastic Transportation Linear Programming Problems with Fuzzy Uncertainty Information on Probability Distribution Space (STLPPFI) with its algorithm outlines.
Halgurd N. Azeez, Abdulqader O. Ameen
doaj +1 more source
Recent Developments to the ANSWERS® Monte Carlo Codes MONK® and MCBEND®
MONK® and MCBEND® are two advanced Monte Carlo codes developed by the ANSWERS® Software Service, which have been used in over 30 countries worldwide for a range of applications, and have been well-established in the UK criticality and shielding ...
Fildes Jessica +10 more
doaj +1 more source

