Fuzzy Model for Selection of Underground Mine Development System in a Bauxite Deposit

Jovanovic, Sasa; Gligoric, Zoran; Beljic, Cedomir; Gluscevic, Branko; Cvijovic, Cedomir
June 2014
Arabian Journal for Science & Engineering (Springer Science & Bu;Jun2014, Vol. 39 Issue 6, p4529
Academic Journal
In this paper, a fuzzy programming model, incorporating fuzzy measures of costs and ore reserves, is developed to evaluate different design alternatives in the context of the selection of the underground mine development system. The bauxite deposit is usually mined using the sublevel mining method. This method extracts the ore via sublevels, which are developed in the ore body at regular vertical spacing. In such an environment, we consider the development system as a weighted network interconnecting all sublevels with surface breakout point using the minimum cost of development and haulages. Selection of the optimal development system is based on the application of Convex Index and composite rank. The uncertainties related to the future states of transportation costs are modeled with a special stochastic process, the Geometric Brownian Motion. The results indicate that this model can be applied for solving underground mine development problems.


Related Articles

  • Monthly Optimal Reservoirs Operation for Multicrop Deficit Irrigation under Fuzzy Stochastic Uncertainties. Liudong Zhang; Ping Guo; Shiqi Fang; Mo Li // Journal of Applied Mathematics;2014, p1 

    An uncertain monthly reservoirs operation and multicrop deficit irrigation model was proposed under conjunctive use of underground and surface water for water resources optimization management. The objective is to maximize the total crop yield of the entire irrigation districts. Mean while,...

  • Guest Editorial. Rezg, Nidhal; Adjallah, Kondo H. // Journal of Intelligent Manufacturing;Apr2010, Vol. 21 Issue 2, p175 

    The article discusses various reports published within the issue, including one on decision support systems in proactive maintenance, one on cooperative controls of a stochastic process of production and supply and one on production and maintenance integration problems and solutions.

  • Fuzzy Metagraph and Vague Metagraph based Techniques and their Applications. Thirunavukarasu, A.; Uma Maheswari, S. // International Journal of Computer Applications;10/15/2012, Vol. 56, p6 

    Metagraphs are graphical hierarchical structure in which every node is a set having one or more elements. Fuzzy Metagraph and Vague Metagraph are an emerging technique used in the design of many information processing systems like transaction processing systems, Decision Support Systems (DSS),...

  • The Economics of Invasive Species Management: Uncertainty, Economics, and the Spread of an Invasive Plant Species. Eiswerth, M.E.; van Kooten, G.C. // American Journal of Agricultural Economics;Dec2002, Vol. 84 Issue 5, p1317 

    Employs insights from fuzzy set theory to develop an expert survey of the spread and damage caused by an invasive plant species that adversely affects rangeland in California and Nevada. Stochastic optimal control model; Results from the stochastic dynamic programming model; Uncertainty.

  • Multicriteria prioritization and partial order in environmental sciences. Bruggemann, Rainer; Patil, Ganapati // Environmental & Ecological Statistics;Dec2010, Vol. 17 Issue 4, p383 

    The complexity of the present data-centric world finds its expression in the increasing number of multi-indicator systems. This has led to the development of multicriteria ranking systems based on partial orders. Order theory is a main pillar of structural mathematics. Partial orders help to...

  • Fuzzy Conditional Probability Relations and their Applications in Fuzzy Information Systems. Intan, Rolly; Mukaidono, Masao // Knowledge & Information Systems;May2004, Vol. 6 Issue 3, p345 

    In our real-world applications, data may be imprecise in which levels or degrees of preciseness of data are intuitively different. In this case, fuzzy set expressions are considered as an alternative to represent the imprecise data. In general, the degree of similarity relationship between...

  • Multicriteria filtering methods based on concordance and non-discordance principles. Perny, Patrice // Annals of Operations Research;1998, Vol. 80 Issue 1-4, p137 

    This paper introduces multicriteria decision-aid methods for assigning alternatives to pre-defined categories and develops a unified framework for preference aggregation methods that are based on concordance and non-discordance principles. Within this framework, we propose new multicriteria...

  • Historical reflections and new positions on perceptual computing. Mendel, Jerry // Fuzzy Optimization & Decision Making;Dec2009, Vol. 8 Issue 4, p325 

    This paper traces the historical origins of perceptual computing and credits Tong and Bonissone (IEEE Trans Syst Man Cybern 10:716–723, 1980) as being the first to originate it but under a different name. It also takes the position that interval type-2 fuzzy sets, and not type-1 fuzzy...

  • DESIGNING A GENETIC ALGORITHM BASED DECISION SUPPORT SYSTEM FOR PORTFOLIO MANAGEMENT. Sharma, Dinesh K.; Jana, R. K.; Sharma, Hari P. // Allied Academies International Conference: Proceedings of the Ac;Oct2011, Vol. 15 Issue 2, p15 

    In this paper, a conceptual framework for designing a decision support system (DSS) using Genetic Algorithm is presented for constructing an efficient portfolio of equities for investors. Since goals cannot be defined precisely, the goals are defined using fuzzy goal programming (FGP) logic for...


Other Topics