fuzzy linear programming problem occur in many elds such as mathematical modeling, control theory and management sciences, etc. in this paper we focus on a kind of linear programming with fuzzy numbers and variables namely fully fuzzy linear programming (fflp) problem, in which the constraints are in inequality forms. then a new method is proposed to ne the fuzzy solution for solving (fflp). ...

An inventory model for deteriorating items over a fuzzy random planning horizon incorporating inflation and time value of money is studied. It is assumed that planning horizon follows exponential distribution with imprecise parameter. The model is formulated using cost minimization principle. As the fuzzy cost cannot be minimized directly, the possibilistic mean value of the fuzzy cost is found...

Within the framework proposed in this paper, we address the issue of extending the certain networks to a fuzzy certain networks in order to cope with a vagueness and limitations of existing models for decision under imprecise and uncertain knowledge. This paper proposes a framework that combines two disciplines to exploit their own advantages in uncertain and imprecise knowledge representation ...

The new approach to the study of weakly structurable continuous dynamic systems (WSCDS) is presented. Different from other approaches where the source of fuzzy uncertainty in dynamic systems is expert, this approach considers time as long as an expert to be the source of fuzzy uncertainty. This notably widens the area of studied problems. All these is connected to the incomplete, imprecise, ano...

In risk analysis, the treatment of the epistemic uncertainty associated to the probability of occurrence of an event is fundamental. Traditionally, probabilistic distributions have been used to characterize the epistemic uncertainty due to imprecise knowledge of the parameters in risk models. On the other hand, it has been argued that in certain instances such uncertainty may be best accounted ...

Background and Objectives: The purpose of this paper is to suggest a novel method to measure the productivity changes of hospitals over time in the presence of linguistic variables along with fuzzy data. Methods: Applying the popular and applicable approaches including data envelopment analysis (DEA), Malmquist productivity index (MPI) and possibilistic progra...

We consider linear equality systems where all the parameters may be fuzzy variables specified by their possibility distribution, the operations addition and multiplication by a real number of fuzzy parameters are defined via a suptriangular norm composition, and the equations are understood in possibilistic sense. We show that when the triangular norm defining the operations and equations is co...

As a critical component of sustainable development, transportation system should be designed such that it has positive impact on the economic, environmental, and social sustainability served region. In response, this study introduces concept passenger dissatisfaction with additional walking waiting as an indicator uses while optimizing transit network for perfectives. Due to lack knowledge abou...

The ever-increasing concerns of the growth in volume waste tires and new strict government legislations to reduce environmental impact end-of-life (EOL) have increased interest among companies design a sustainable efficient closed-loop supply-chain (CLSC) network. In real world, CLSC network is subject variety uncertainties, such as random fuzzy (epistemic) uncertainties. Designing reliable env...