A statistical database is a database in which only queries of statistical type are allowed, such as SUM, COUNT, MAX, MIN, MEAN. The security problem for a statistical database is to nd suitable control mechanisms so that while statistical information is provided, no sequence of queries is suucient to infer the values of protected elds of individual records. If such an inference is possible we s...

This paper proposes a compromise model, based on the technique for order preference through similarity ideal solution (TOPSIS) methodology, to solve the multi-objective large-scale linear programming (MOLSLP) problems with block angular structure involving fuzzy parameters. The problem involves fuzzy parameters in the objective functions and constraints. This compromise programming method is ba...

Abstract This study aims to improve the tensile properties of polyethylene film deposited with a multilayer graphene membrane, in order establish understanding influence methane hydrogen ratio on membrane. Multilayer membranes were prepared using chemical vapor deposition method. Four types different ratios before depositing membrane film. Experiments showed that strength films increased 7 time...

neurofibromatosis is a benign neurogenic tumor, originatig from schwann cells of the nerve sheath. this tumor forms a round, white mass on the course of the involved nerve. it occurs sporadically or in association with von recklinghausen's disease. laryngeal involvement is a rare occasion that affects women more than men (f/m ratio 3:2). the most common symptoms are hoarseness, dyspnea and dysp...

We study a concept in multicriteria optimization called compromise solutions (introduced in 1973 by Yu [20]) and a generalized version of this, termed reference point solutions. Our main result shows the power of this concept: Approximating reference point solutions is polynomially equivalent to constructing an approximate Pareto set as in [16]. A reference point solution is the solution closes...

Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors at a time so that each sensory information yields different similarity matrix derived from the same objects. In such a case, manifold integration is a desirable task, combining these similarity matrices into a comprom...