A non-linear multi-objective transportation problem (NMOTP) refers to a special class of non-linear multi-objective problems. In this paper we review goal programming (GP) and fuzzy programming (FP) as two approaches for solving (NMOTP). Meanwhile, by extending Mohamed’s idea about fuzzy goal programming (FGP), we propose a fuzzy goal programming approach to solve the non-linear multi-objective...

Abstract. Although there have been several approaches to machine learning, we focus on the mathematical programming (in particular, multi-objective and goal programming; MOP/GP) approaches in this paper. Among them, Support Vector Machine (SVM) is gaining much popularity recently. In pattern classification problems with two class sets, it generalizes linear classifiers into high dimensional fea...

the system analysis plays an important role in natural resources, water resources and industrial engineering. in recent years, most parts of iran like golestan province, due to the lack of integrated river basin management, have been suffered numerous losses in variant environmental, social and economic aspects. in this paper an application of system analysis has been applied to optimal pattern...

this paper will investigate the optimum portfolio for an investor, taking into account 5 criteria. the mean variance model of portfolio optimization that was introduced by markowitz includes two objective functions; these two criteria, risk and return do not encompass all of the information about investment; information like annual dividends, s&p star ranking and return in later years which...

The benefits of goal Programming (GP) over linear programming (LP) are mentioned inside the context healthcare industry. Decision-makers ought to provide substantial attention method a GP model. However, long‐ and short‐time period answers no longer be careworn. Answers also require implementations, which can impractical or tough. whole utilization centers is usually recommended in try less...

Traditional portfolio insurance (PI) strategy, such as CPPI, only considers the floor constraint but not the goal aspect. This paper proposes a goal-directed (GD) strategy to express an investor’s goal-directed trading behavior and combines this floor-less GD strategy with the goal-less CPPI strategy to form a piecewise linear goal-directed CPPI (GDCPPI) strategy. In addition, we extend the pie...

In recent years according to the growing companies andproducts supplied, and competition between them has intensified. Productsand diversity, one of the main concerns of commercial institutions.Therefore, selecting the media to introduce and is important therelationship between customers’ products. Given the multiplicity of mediain promoting and marketing the products, they are the optimalchoic...

Data envelopment analysis (DEA) is a common technique in measuring the relative efficiency of a set of decision making units (DMUs) with multiple inputs and multiple outputs. ‎‎Standard DEA models are ‎‎quite limited models‎, ‎in the sense that they do not consider a DMU ‎‎at different times‎. ‎To resolve this problem‎, ‎DEA models with dynamic ‎‎structures have been proposed‎.‎In a recent pape...