Proposing a New Model for Waste Dump Site Selection: Case Study of Ayerma Phosphate Mine

Abstract

The purpose of developing a mining project is to meet the demand for metals and minerals resources. This is obviously connected with the generation of a considerable volume of waste. However, one of the most important strategies in waste management is to select the optimum waste dump site. To face with this problem, managers go in search of the techniques that not only can consider the technical and economic factors but also take into account environmental aspects to get a better perspective on the problem under consideration. The merit of using multicriteria decision making (MCDM) model is to consider different criteria. One of the most standard techniques used for the formulation of a complex problem under different criteria is Additive Ratio ASsessment (ARAS). In this paper, the ARAS based group decision making (GARAS) for evaluating the possible alternatives under partial or incomplete information is proposed. The proposed model contains three main stages: (i) identifying the main and sub-criteria, (ii) evaluating the feasible alternative by using fuzzy GARAS technique, and (iii) conducting a sensitivity analysis to determine how the importance weights influence the process of the decision making. To demonstrate the potential application of the proposed model, a real case study is illustrated. The strength of the proposed model is its effectiveness and capability to produce proper solutions under the inherent uncertainty involved in the process of modeling a real-life problem.

The Framework for the Selection of Personnel Based on the SWARA and ARAS Methods Under Uncertainties

“…The Framework for the Selection of Personnel Based on the SWARA and ARAS Methods 55 phate mine (Shariati et al, 2014), applying fuzzy MCDM for financial performance evaluation of Iranian companies (Ghadikolaei et al, 2014), an integrated model for extending brand based on fuzzy ARAS and ANP methods (Zamani et al, 2014), and Extension of the ARAS method for Decision-making problems with Interval-Valued Triangular Fuzzy Numbers (Stanujkic, 2015). The process of solving decision-making problems using the ARAS method, similarly to the other MCDM methods, starts with forming a decision matrix.…”

Comparing Aras and Copras Methods to Evaluate Firms By Using Fundamental Analysis

“…(2016) used ARAS in choice of energy generation technologies within a case study of Lithuania. Shariati et. al.…”

Critical Factors of the Application of Nanotechnology in Construction Industry by Using Anp Technique Under Fuzzy Intuitionistic Environment

“…Hence, the intuitionistic fuzzy set is a general form of the fuzzy set. The fuzzy set has obtained a great success in practical applications and theoretical researches such as equipment selection (Yazdani-Chamzini 2014a), corporate social responsibility (Skarmeas et al 2014), operations research (Broumi, Smarandache 2014; Alcantud 2016; Gonçalves et al 2016;Sun et al 2014Sun et al , 2017Pask et al 2017;Fan et al 2017), performance evaluation (Rabbani et al 2014;Onat et al 2016), risk assessment (Yazdani-Chamzini 2014b; Abdullah, Najib 2014); site selection (Shariati et al 2014), and supplier selection (Kar 2015). It can be anticipated that the intuitionistic fuzzy set has a success prospect for modelling a decision making problem, in which expert's knowledge and experience is required for formulation of the problem under consideration.…”