FMMSIC: a hybrid fuzzy based decision support system for MMS (in order to estimate interrelationships between criteria)

• Published in: The Journal of the Operational Research Society Vol. 63; no. 2; pp. 218 - 231
• Main Authors: Namin, F Samimi, Shahriar, K, Bascetin, A, Ghodsypour, S H
• Format: Journal Article
• Language: English
• Published: London Taylor & Francis 01-02-2012; Palgrave Macmillan; Palgrave Macmillan UK; Taylor & Francis Ltd
• Series: Journal of the Operational Research Society
• Subjects: Applied sciences; Business and Management; Capital costs; Case studies; Computer science; control theory; systems; Cost efficiency; Data processing. List processing. Character string processing; Decision making; Decision support systems; Decision theory. Utility theory; Entropy; Exact sciences and technology; FMMSIC; fuzzy ANP; fuzzy entropy; Fuzzy logic; General Paper; General Papers; hybrid decision support system; Information systems. Data bases; Linear programming; Linguistics; Management; Matrices; Memory organisation. Data processing; Metals mining; Methods; Mining; mining method selection; Mining methods; modified TOPSIS; Operational research and scientific management; Operational research. Management science; Operations research; Operations Research/Decision Theory; Software; Studies; Surface mining; Variables; fuzzy ANP; fuzzy entropy; mining method selection; FMMSIC; modified TOPSIS; hybrid decision support system; Fuzzy system; Decision support system; Multicriteria analysis; Decision making; Empirical method; Analytic network process; Entropy; Similarity solution; Data mining; Modeling; Fuzzy neural nets; Hybrid system; Fuzzy logic; Selection problem; Uncertain system; Preference; Fuzzy decision
• ISSN: 0160-5682; 1476-9360
• DOI: 10.1057/jors.2011.24

One of the main tasks in exploitation of ore-body is to select a suitable mining method. In mining method selection (MMS) problems, a decision procedure has to choose the best exploitation method that satisfies the evaluation criteria. It is generally hard to find a mining method that meets all the criteria simultaneously, therefore a good compromise solution is preferred as the final selection. Furthermore, the MMS problem is an inherently uncertain activity. To deal with the uncertainty, this paper presents an hybrid decision support system based on the fuzzy multi attribute decision making, named the fuzzy mining method selection with interrelation criteria (FMMSIC). FMMSIC models the relative weights of criteria by combining the fuzzy analytic network process and fuzzy entropy, and discusses using these hybrid techniques to determine the overall weights. Subsequently, the technique for order preference by similarity to an ideal solution method was modified by various normalization norms according to the MMS problem condition. Finally, to illustrate how the FMMSIC is used for the MMS problems, an empirical study of a real case is conducted. It shows by means of an application that the FMMSIC is well suited as a decision support system for the MMS.