by developing the level of life in societies, the need for new resources of energy becomes more important. in almost all cases, the aim is to convert one form of energy to the electrical form. with advances of technology and use of new electric and electronic devices and gadgets, the need for electrical energy is increasing and providing stable and continuous electric power becomes very importa...

In this paper, a type of fuzzy system structure is applied to heuristic dynamic programming (HDP) algorithm to solve nonlinear discrete-time Hamilton–Jacobi–Bellman (DT-HJB) problems. The fuzzy system here is adopted as a 0-order T–S fuzzy system using triangle membership functions (MFs). The convergence of HDP and approximability of the multivariate 0-order T–S fuzzy system is analyzed in this...

This paper discusses the optimization of emergency resource scheduling for major railway emergencies under multiple uncertainties while considering in demand, reserve, and transportation costs resources. We introduce a novel approach that integrates stochastic mathematical programming, interval parameter fuzzy programming to study uncertain interactions coupling. A two-stage credibility-constra...

The review of existing human resource allocation models for a CPA firm shows that there are major shortcomings in the previous mathematical models. First, linear programming models cannot handle multiple objective human resource allocation problems for a CPA firm. Second, goal programming or multiple objective linear programming (MOLP) cannot deal with the organizational differentiation problem...

Based on the fuzzy random chance-constrained programming(FRC) theory, the paper presents a method to calculate active-power-output of large-scale wind power farms connected to power grid. The calculation of active-power-output can be turned into a FRC programming problem which constrained conditions. This paper put forward a mathematical model of calculate active power in wind power integrated ...

in this paper, the portfolio selection problem is considered, where fuzziness and randomness appear simultaneously in optimization process. since return and dividend play an important role in such problems, a new model is developed in a mixed environment by incorporating fuzzy random variable as multi-objective nonlinear model. then a novel interactive approach is proposed to determine the pref...

0360-8352/$ see front matter 2009 Elsevier Ltd. A doi:10.1016/j.cie.2009.07.010 * Tel.: +886 4 24961123x1409; fax: +886 4 249611 E-mail address: [email protected] In practical project management (PM) decision problems, environmental coefficients and related parameters are frequently fuzzy in nature, and a decision maker (DM) must simultaneously consider various conflicting objectives in a ...

a linear programming model has been presented for finding an appropriate planning in order to maximize hotel revenue. in this model, a special planning horizon has been considered that includes several busy days of a year. there are several reservation periods that may start a few months earlier. each period of reservation may have different prices and so result different incomes. hotel custome...

In the classical problems of mathematical programming the coefficients of the problems are assumed to be exactly known. This assumption is seldom satisfied by the great majority of real-life problems. Taking into account the multiple criteria optimization in the environment of fuzzy constraints and mixed variables, a solving method is developed here.