To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision variables (which we can set) and stochastic variables (which follow a probability distribution). They combine together the best features of traditional constraint satisfaction, stochastic integer programming, and sto...

energy is a critical factor to obtain a sustainable development for countries and governments. selection of the most appropriate energy alternative is a completely critical and a complex decision making problem. in this paper, an integrated multi-criteria decision-making (mcdm) methodology based on type-2 fuzzy sets is proposed for selection among energy alternatives. then a roadmap has been cr...

introduction: due to irregular growth and expansion of cities, especially in developing countries, various issues and difficulties have arisen in different economic, social and ecological fields and various measurements and approaches in order to supply desirable conditions for today and future generations. healthy city approach is one these approaches as today it’s a new mechanism proposed by ...

the stock selection problem is one of the major issues in the investment industry, which is mainlysolved by analyzing financial ratios. however, considering the complexity and imprecise patterns ofthe stock market, obvious and easy-to-understand investment rules, based on fundamental analysis,are difficult to obtain. fundamental and technical analyses are two common methods for predictingthe fu...

contractor selection is one of the most important problem in supply chain and itsstrongly effect on firm`s performance. because a significant amount of auniversity`s budget assigns to construction contracts, contractor selection is animportant problem for the financial status of universities. since contractor selectionis a multi-criteria decision making problem (mcdm), lots of methods proposed ...

in this paper, a model has been provided for selecting right portfolio in stock exchange. the ranking of financial industries and companies has been applied for the selection of the right stock in this model. these rankings have been done through promethee decision- making method. technical analysis aims to determine the right time to buy and sell the superior stocks. a survey study is also don...

Strategic planning is expressly significant for company ́s success and competitive advantage making in an increasingly competitive business environment. So management of companies have to provide decision making processes to ensure smooth running of the company. Widely used approach for solving multi criteria decision problems is goal programming. The article is dedicated to the application of m...

Production planning is a key area of operations management. An important methodology for production planning is mathematical programming. Traditional mathematical programming models for production planning are deterministic, and cannot provide robust production plans in the presence of uncertainty. As such, deterministic planning models may yield unsatisfactory decisions. Stochastic programming...

Abstract: Bi-level programming, a tool for modeling decentralized decisions, consists of the objective(s) of the leader at its first level and that is of the follower at the second level. Three level programming results when second level is itself a bi-level programming. By extending this idea it is possible to define multi-level programs with any number of levels. Supply chain planning problem...

A STOCHASTIC PROGRAMMING APPROACH TO POWER PORTFOLIO OPTIMIZATION Suvrajeet Sen Lihua Yu Talat Genc Raptor Laboratory, SIE Department, University of Arizona, Tucson, AZ 85721,U.S.A. September 20,2004 We consider a power portfolio optimization model that is intended as a decision aid for scheduling and hedging (DASH) in the wholesale power market. Our multi-scale model integrates the unit commit...