An Optimization of Master S-N Curve Fitting Method Based on Improved Neighborhood Rough Set

Curve fitting in terms N-Control points on 2D using fuzzy set and rough set theory

In this paper, we develop a new hybrid curve fitting model using fuzzy set and rough set theory. The developed method differs from classical curve fitting techniques and algorithms. For produced rule sets of model to create by using fuzzy logic technique and the membership functions of input and output functions, the range of membership functions and the relations between membership functions i...

A Intrusion Detection Method Based on Neighborhood Rough Set

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Proposed Improved Bee Colony Optimization Based on Rough Set Algorithm

Reduction of Rough Set Based on Generalized Neighborhood System Operator

The theory of generalized neighborhood system-based approximation operators plays an important role in the theory of generalized rough sets since it includes both the neighborhood-based approximation operators and the covering-based approximation operators as its special circumstances. The theory of reduction is one of the most significant directions in rough sets. In this work, the reduction o...

An Improved N-dimensional NURBs-based Metamodel

Non Uniform Rational B-splines (NURBs) are proved to be very promising for metamodeling in engineering problems, because they have unique properties such as local modification scheme, strong convex hull property, and infinitely differentiability, etc. Since NURBs are defined by control points, knot vector, and weights associated with control points, the precision of NURBs is influenced by all o...