In this paper, the application of hexagonal fuzzy multiple-criteria decision-making (MCDM) methodology for site selection electric vehicle charging stations is considered. regard, four factors and thirteen sub-factors have been taken into consideration E-vehicle selection. research, geographic information system (GIS) has incorporated with MCDM techniques. The analytic hierarchy process (FAHP) ...

Some machine part failures have often occurred in areas of components where the strength was lowest, especially at its weld region. Presence voids weldments or joints greatly reduces quality weldment. To prevent these defects, a proper optimum selection process parameters is highly encouraged to achieve an acceptable mechanical property. The Complex Proportional Assessment (COPRAS) method appli...

The integration of environmental concerns into the product design process has highlighted a new problem that arises when confronted with complex systems. Indeed environmental assessment methodologies like Life Cycle Assessment (LCA) become in this case particularly heavy to implement. Considering aluminium electrolysis substations as a complex industrial system, we propose a new eco-design meth...

this paper presents a new approach for assessing agricultural landscapes based on mixturemethods and the study and definition of aesthetic attributes as lines, forms, texture, spatial composition, scaleand color as they are the closest to human perceptual aesthetic attributes. a set of variables capable ofquantifying those attributes in a simple, objective and systematized way will be proposed....

combating desertification which is a serious threat for the environment and human welfare requires understanding complex issues of this phenomenon using evaluation, awareness of severity of it's processes and determination of it's factors. so here, after recognizing the characteristics of the region showing existence desertification, we assess its current status with emphasis on clima...

We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are learned from data using a simple and efficient EM algorithm. This step is nonparametric, in that it does not require a parametric form of covariance function. In a second step, kernel functions are fitted to approximate...

A fractal is in essence a hierarchy with cascade structure, which can be described with a set of exponential functions. From these exponential functions, a set of power laws indicative of scaling can be derived. Hierarchy structure and spatial network proved to be associated with one another. This paper is devoted to exploring the theory of fractal analysis of complex systems by means of hierar...

⎯Due to the shortcomings of the diagnosis systems for complex electronic devices such as failure models hard to build and low fault isolation resolution, a new hierarchical modeling and diagnosis method is proposed based on multisignal model and support vector machine (SVM). Multisignal model is used to describe the failure propagation relationship in electronic device system, and the most prob...

While the majority of approaches to the characterization of complex networks has relied on measurements considering only the immediate neighborhood of each network node, valuable information about the network topological properties can be obtained by considering further neighborhoods. The current work discusses on how the concepts of hierarchical node degree and hierarchical clustering coeffici...