the purpose of this study is identification and barrier analysis for green supply chain management implementation in sirjan's golgohar using fuzzy topsis technique and fuzzy dematel technique. at first, in this study barriers for green supply chain management are identified through literature and survey with experts and the priority processing is doing with fuzzy topsis technique. this study is...

In the current research project, the thermal performance of a series of newly designed mixers has been investigated. Each mixer has two concentric cylinders comprising two annular slot flow channels around a solid cylindrical rod at the center. In each mixer, the first cylinder around the central solid rod has either spherical or pyramidal protrusions throughout the outer surface. It has been o...

A memory control for T-S fuzzy discrete-time systems with sto- chastic input delay is proposed in this paper. Dierent from the common assumptions on the time delay in the existing literatures, it is assumed in this paper that the delays vary randomly and satisfy some probabilistic dis- tribution. A new state space model of the discrete-time T-S fuzzy system is derived by introducing some stocha...

In this study, the success rate of projects in Turkey is measured, and significant factors behind successes failures those are ranked. To best our knowledge, first study widely measuring Turkey. The applied methodology adapted from Chaos Report by Standish Group. data for 320 with a total budget approximately $640 million (around 3.6 billion Turkish lira) collected analysis. results showed that...

The kinetics of iodination of the phenol and substituted phenols using pyridiniumiodochloride in methanol has been studied under varying conditions. The rates show first orderkinetics each in pyridinium iodochloride and phenols. The rates of reactions are measured atdifferent temperature and activation parameters for all phenols computed. Hammett plot is foundto be valid and the corrletion betw...

In this paper, robust fuzzy neural networks (FNNs) are proposed to identify chaotic systems. In the proposed FNNs, integrating support vector regression (SVR) and annealing robust time-varying learning algorithm (ARTVLA) is adopted to optimize the structure of neural networks. In the evolutionary procedure, first, SVR is adopted to determine the number of hidden layer nodes and the initial stru...

In this paper, the authors have focused on the stochastic analysis of an internet data center (IDC), which consists of a database main server connected to a redundant server. Observing the different possibilities of functioning of the system, analysis has been done to evaluate the various reliability characteristics of the system. The system can completely fail due to failure of redundant serve...

In this thesis, an intelligent fuzzy logic system using genetic algorithms for the prediction and modelling of interest rates is developed. The proposed system uses a Hierarchical Fuzzy Logic system in which a genetic algorithm is used as a training method for learning the fuzzy rules knowledge bases. A fuzzy logic system is developed to model and predict three month quarterly interest rate flu...

risk management is one of the most important phases of project management and isthe most recently used by many researchers. in this paper, a fuzzy based method wasproposed which identifies different kinds of risks through the project life cycle.then, the project risk magnitude can be obtained in regards to five factors, namely“severity”, “occurrence”, and “not detection” which form fuzzy fmea a...