One of the basic combinatorial optimization problems is the assignment problem that deals with assigning jobs to individuals. In traditional assignment problems, n jobs usually assign to n individuals such that the total cost is minimized or the total profit is maximized. However, in numerous real-life applications, various attributes could be considered in assignment problems while data (obj...

in this paper,  we introduce  the notion of $m$-fuzzifying interval spaces, and discuss the relationship between $m$-fuzzifying interval spaces and $m$-fuzzifying convex structures.it is proved that  the category  {bf mycsa2}  can be embedded in  the category  {bf  myis}  as a reflective subcategory, where  {bf mycsa2} and   {bf  myis} denote  the category of $m$-fuzzifying convex structures of...

We challenge the common practice of estimating gravity equations with interval or averaged data in order to capture dynamic-adjustment effects trade-policy changes. Instead, we point a series advantages using consecutive-year recognizing effects. Our analysis reveals that, relative data, use avoids downward-biased effect estimates due distribution events during an event window as well anticipat...

background: prolongation of qt interval is one of the most important abnormalities in cardiovascular system of cirrhotic patients. the aim of this survey was determination of propranolol effect on frequency adjusted qt interval (qtc). materials and methods: thirty six cirrhotic patients (m/f=20/16, mean age:56 â± 3.8 years) and 40 healthy age and sex matched controls (m/f=25/15, mean age: 58 â±...

ramadan fasting is one of the most important religious duties of muslims, that its effect on the heart has not been determined yet. our objective was to evaluate the effect of ramadan fasting on ventricular repolarization as assessed by qt interval, corrected qt interval, qt dispersion or corrected qt dispersion. sixthy healthy subjects aged 20 to 35 years were dispersion included in this study...

We present some complexity results on checking necessary efficiency in interval multiobjective linear programming. Supposing that objective function coefficients perturb within prescribed intervals, a feasible point x is called necessarily efficient if it is efficient for all instances of interval data. We show that the problem of checking necessary efficiency is co-NP-complete even for the cas...

High-level, numerically oriented programming languages such as Matlab, Scilab or Octave are popular and well-established tools in the scientific and engineering communities. However, their computational efficiency sometimes limits their use in certain areas where intensive numerical computations are required, such as interval analysis. In this paper, we present an efficient implementation of th...

To analyse the significance of the digits used for interval bounds, we clarify the philosophical presuppositions of various interval notations. We use information theory to determine the information content of the last digit of the numeral used to denote the interval’s bounds. This leads to the notion of efficiency of a decimal digit: the actual value as percentage of the maximal value of its i...

High-level, numerically oriented programming languages such as Matlab, Scilab or Octave are popular and well-established tools in the scientific and engineering communities. However, their computational efficiency sometimes limits their use in certain areas where intensive numerical computations are required, such as interval analysis. In this paper, we present an efficient implementation of th...

We investigate the efficiency of multi-step Newton method (the classical Newton method in which the first derivative is re-evaluated periodically after m steps) for solving nonlinear equations, F(x) = 0, F : D ⊆ Rn → Rn. We highlight the following property of multi-step Newton method with respect to some other Newton-type method: for a given n, there exist thresholds of m, that is an interval (...