Abstract Uncertainties from hydrological and meteorological environments constantly pose disturbances to water sustainability. Programming under such uncertainties aims at finding solutions this risky condition. From the sight of uncertain availability, paper builds a life cycle model reduce risks inappropriate estimations availability within river basin incorporates results in robust programmi...

On an investment-consumption model with transaction costs, SIAM J. Abstract. This paper considers the optimal consumption and investment policy for an investor who has available one bank account paying a fixed interest rate and n risky assets whose prices are log-normal diffusions. We suppose that transactions between the assets incur a cost proportional to the size of the transaction. The prob...

The purpose of this research study was to examine the effect of a multiple risky behaviors prevention program applied comprehensively throughout an entire school system involving universal, selective, and indicated levels of students at a local private high school during a 4-year period. The noncurriculum prevention program was created based upon the key elements of effective prevention program...

The increasing amount of infm’mation to be manage.d in knowledge-based systems has promoted, on one hand, the exploitation of machine lem’ning for the automated acquisition of knowledge mid. on the other hand. the adoption of object-oriented representation models for easing the maintenmlce. In this comext, adopting techniques for structuring hmwledge represematiou in machine learning seems part...

in traditional portfolio selection model coefficients often are certain and deterministic, but in real world these coefficients are probabilistic. so decision maker cannot estimate them exactly. financial optimization is one of the most attractive areas in decision under uncertainty. in the portfolio selection problem the decision maker considers simultaneously conflicting objectives such as ra...

The notion of component-oriented programming is largely based on a model of software distribution: if a certain software artifact can be distributed independently of other similar artifacts, and yet be smoothly integrated into an environment composed of such artifacts, then we call it a component. Unlike established areas of computer science, such as object-oriented programming, component-orien...

strategic programming, complex supply chain, lean, production programming, suppliers selection,   electre this paper represents a model of strategic programming with limited resources in a complex supply chain. the main goal of the proposed model is to increase efficiency and effectiveness of the supply chain with respect to income increases and cost decreases. using special objective functions...

in this paper, the researchers present a multi-objective linear fractional inventory model using fuzzy pro-gramming. the proposed method in this paper is applied to a problem with two objective functions. the re-sulted fuzzy model is transformed into an ordinary linear programming. the implementation of the develop-ing model presented in this paper is demonstrated through the use of some numeri...