The design of acceptance sampling plans for hybrid exponential distribution under a truncated life test is considered in this paper. In this work, experimental values are treated as observed values of exponential random variables whose mean is assumed to be a fuzzy variable in the sense of Liu [25]. A new chance distribution called hybrid exponential distribution is considered in this paper and...

A WSN system incorporates a gateway that provides wireless connectivity back to the wired world and distributed nodes. Routing is the main operation in wireless sensor (WSN). In this work, the energy of a node, distance of a node from the current node and the angle made by a node with the sink node, are considered as parameters. The fuzzy system estimates the chance of a node capable of handing...

Inventory management studies to minimize the average total cost per unit time and to determine the quantity of the stocked material to be ordered. In this paper the demand follows normal distributive under deterministic, stochastic and mixed environment, respectively and thus the model becomes more realistic. Expected annual cost is measured, with varying defective rate. After that the item wis...

There are many cases that a nonlinear fractional programming, generated as a result of studying fractional stochastic programming, must be solved. Sometimes an approximate solution may be sufficient enough to start a new process of calculations. To this end, this author introduces a new linear approximation technique for solving a fractional chance constrained programming (CCP) problem. After i...

Data Envelopment Analysis (DEA) is a widely used mathematical programming technique for comparing the inputs and outputs of a set of homogenous Decision Making Units (DMUs) by evaluating their relative efficiency. The conventional DEA methods assume deterministic and precise values for the input and output observations. However, the observed values of the input and output data in real-world pro...

The joint replenishment problem (JRP) has received considerable attention and all of the work on JRP is under explicit environment. In fact, the decision makers often have to face vague operational conditions. In this paper, a novel JRP model with fuzzy minor replenishment cost and fuzzy inventory holding cost is developed. More concisely, this model is a fuzzy dependent-chance programming (DCP...

This paper focuses on generating the optimal solutions of the solid transportation problem under fuzzy environment, in which the supply capacities, demands and transportation capacities are supposed to be type-2 fuzzy variables due to the instinctive imprecision. In order to model the problem within the framework of the credibility optimization, three types of new defuzzification criteria, i.e....

In this paper we consider the use of fuzzy logic in the scheduling of periodic tasks in soft real-time multiprocessor systems. Most researches concerning real-time system scheduling assumes scheduling constraint to be precise. However, in many circumstances the values of these parameters are vague. The vagueness of parameters suggests that we make use of fuzzy logic to decide in what order the ...

This paper considers a general 0-1 random fuzzy programming problem including some previous 0-1 stochastic and fuzzy programming problems. The proposal problem is not a well-defined problem due to including random fuzzy variables. Therefore, by introducing chance constraint and fuzzy goal for objective function and considering the maximization for the degrees of possibility that the objective f...