Fuzzy TOPSIS method to primary crusher selection for Golegohar Iron Mine (Iran)

Abstract

Selection of the crusher required a great deal of design regarding to the mine planning. Selection of suitable primary crusher from all of available primary crushers is a multi-criterion decision making (MCDM) problem. The present work explores the use of technique for order performance by similarity to ideal solution (TOPSIS) with fuzzy set theory to select best primary crusher for Golegohar Iron Mine in Iran. Gyratory, double toggle jaw, single toggle jaw, high speed roll crusher, low speed sizer, impact crusher, hammer mill and feeder breaker crushers have been considered as alternatives. Also, the capacity, feed size, product size, rock compressive strength, abrasion index and application of primary crusher for mobile plants were considered as criteria for solution of this MCDM problem. To determine the order of the alternatives, closeness coefficient is defined by calculating the distances to the fuzzy positive ideal solution (FPIS) and fuzzy negative ideal solution (FNIS). Results of our work based on fuzzy TOPSIS method show that the gyratory is the best primary crusher for the studied mine.

Keywords

primary crusher / multi-criterion decision making (MCDM) / technique for order performance by similarity to ideal solution / fuzzy set theory / Golegohar Iron Mine / gyratory crusher

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