This article deals with an economic order quantity (EOQ) inventory model for items with imperfect quality in fuzzy stochastic environment, wherein shortages are allowed and completely backlogged. Fuzzy stochastic environment means linguistic ‘impreciseness’ and statistical ‘uncertainty’ both appear simultaneously. Due to uncertain demand trend, imperfect production process, natural disaster etc...

Abstract A biplot, which is the multivariate generalization of the two-variable scatterplot, can be used to visualize the results of many multivariate techniques, especially those that are based on the singular value decomposition. We consider data sets consisting of continuous-scale measurements, their fuzzy coding and the biplots that visualize them, using a fuzzy version of multiple correspo...

For generalised type-2 fuzzy sets the defuzzification process has historically been slow and inefficient. This has hampered the development of type-2 Fuzzy Inferencing Systems for real applications and therefore no advantage has been taken of the ability of type-2 fuzzy sets to model higher levels of uncertainty. The research reported here provides a novel approach for improving the speed of de...

Analytical hierarchy process (AHP) as multiple criteria decision making tools can be used in the problems with spatial nature like selection of construction contractor. In this study the application of AHP and its weakness and strength and ultimately the fuzzy modified analytical hierarchy process (FAHP) is proposed after the concept of fuzziness, uncertainty and vagueness. A triangular fuzzy u...

Failure mode and effects analysis (FMEA) has been extensively used for examining potential failures in products, processes, designs and services. An important issue of FMEA is the determination of risk priorities of the failure modes that have been identified. The traditional FMEA determines the risk priorities of failure modes using the so-called risk priority numbers (RPNs), which require the...

This paper builds on a previously proposed approach where fuzzy logic is used to incorporate linguistic variables in system dynamics modeling. The motivation for this approach is to include vague yet dynamic variables that are combined in a meaningful way. The essence of our approach requires the definition of membership functions as representations of the degree to which specific variable attr...

Fuzzy regression models have been applied to operational research (OR) applications such as forecasting. Some of previous studies on fuzzy regression analysis obtain crisp regression coefficients for eliminating the problem of increasing spreads for the estimated fuzzy responses as the magnitude of the independent variable increases; however, they still cannot cope with the situation of decreas...

Finding movements of lip for distinction of numbers are one of the functions of image processing and for achieving to this purpose. First, the input image was received by camera and it’s being developed for it’s processing by applying some filters and by using of gray criterion and measure that is on the base of green spectrum and then segmentation of pieces is being carried out on the image by...

Laser metal deposition (LMD) process is an additive manufacturing technique that has attracted the interest of automotive and aerospace industries due to its ability manufacture parts with complex geometries different types metallic materials. However, structure deposited layers geometrical characteristics manufactured are influenced by interaction among parameters. In this paper, fuzzy inferen...

empirical studies have shown that the size distribution of firms can be described as a lognormal or pareto distribution. however, these studies have focused on developed countries and little attention has been devoted to developing countries. using the variable of number of employees as a measure of firm size, this paper investigates the shape of firm size distribution in the food & beverages i...