Shaft sinking is one of the main parts in underground mine planning. Shaft has various applications in underground mines e.g. minerals exiting flow, gases entrance or exit way, stope developments for exploitation etc. Considering that this section requires an abundance of expenses, management always following the election is the way that both terms have the technical considerations, economic co...

Abstract: Measuring the success of sustainable urban development has been difficult in the past. However, as this has become more important in the past few years, this paper develops an innovative sustainable urban development capacity measurement model based on principal component analysis (PCA) and Grey TOPSIS methodology, which has a significantly more comprehensive measurement, and reduces ...

Based on the cognitive psychology of selective attention and priming effect, and visual display effect, this research aims to explore how banner advertisements in the portal sites affect brand communication after end user enter the web. This study uses online SSI Web questionnaire and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The prime age group selection c...

This paper presents a model based decision support system (DSS) for evaluating performance. Performance evaluation in business is difficult. Multicriteria methods are used for evaluation of performance of public and private organizations. The proposed system is based on financial ratios and some methods such as Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Id...

Multiple attribute decision analysis (MADA) problems in the situation of belief group decision making (BGDM) are a special class of decision problems, where the attribute evaluations of each decision maker (DM) are represented by belief functions. In order to solve these special problems, in this paper, TOPSIS (technique for order preference by similarity to ideal solution) model is extended by...

Abstract The aim of this paper is to investigate the multiple attribute decision making problems with linguistic information, in which the information about attribute weights is incompletely known, and the attribute values take the form of linguistic variables. We develop a new method to solve linguistic MADM with incomplete weight. In order to get the weight vector of the attribute, we establi...