In this paper, we present a model to measure attainment value of fuzzy stochastic goals. Then, the new measure is used to de-randomize and de-fuzzify the fuzzy stochastic goal programming problem and obtain a standard linear program (LP). A numerical example is provided to illustrate the proposed method.

Due to the complexity and uncertainty involved in real world decision problems, determination interpretation of Decision Makers' preference relations remain a challenging task for them. This paper develops novel procedure incorporating information efficiency analysis Making Units. The Units is defined spirit Data Envelopment Analysis, complemented with Maker's information. Our begins by aiding ...

Fuzzy goal programming has important applications in many areas of supply chain, logistics, transportation and shipping business. Business management complications, there exist interactions between the factors its components. The locomotive world trade is maritime transport approximately 90% products are transported by sea. Optimization operations a challenge order to provide technical, operati...

Aggregate production planning (APP) determines the optimal production plan for the medium term planning horizon. The purpose of the APP is effective utilization of existing capacities through facing the fluctuations in demand. Recently, fuzzy approaches have been applied for APP focusing on vague nature of cost parameters. Considering the importance of coping with customer demand in different p...

recently, the economic crisis has resulted in instability in stock exchange market and this has caused high volatilities in stock value of exchanged firms. under these conditions, considering uncertainty for a favorite investment is more serious than before. multi-objective portfolio selection (return, liquidity, risk and initial cost of investment objectives) using minmax fuzzy goal programmin...