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one of the most important considerations when constructing an industrial project. A suitable site has a significant effect on a company's competitiveness in the market. Selecting a desirable location for constructing plants such as mineral processing facilities is an essential part of the economic planning that will enable a company to meet the needs of related upstream and downstream operations. These units are considered to be best built near the relevant mining sites because of technical difficulties, the cost of transporting minerals, and the traffic hazard caused by the movement of trucks transporting materials. Two main types of research using multiattribute decision-making models have been reported for selection of a processing plant site (Safari et al. 2010, 2012). In that research, the analytic hierarchy process (AHP) and fuzzy technique for order preference by similarity to ideal solution (TOPSIS) approach were applied to select the suitable locations for the mineral processing plants for phases 1 and 2 of Sangan iron ore mine. Fuzzy goal programming has been developed to solve decision-making problems in a variety of specific scientific applications. However, this technique has not been applied to date for processing plant site selection. A vendor selection decision in a supply chain was formulated as a fuzzy mixed integer goal programming by Kumar, Vrat, and Shankar (2004). A fuzzy multi-goal programming model was developed to select ’thin film transistor liquid crystal display suppliers for cooperation’ (Lee, Kang, and Chang, 2009). A fuzzy AHP approach was used to analyse the importance of effective factors based on experts’ judgment. Arikan (2013) developed a multi-objective linear programming method to select a multi-source supplier. The programming approach was based on a fuzzy mathematical model and a specific solution using the decision-maker’s aspirations for fuzzy goals. Jadidi, Cavalieri, and Zolfaghari (2015) proposed a multi-choice goal programming approach to solve a supplier selection problem, taking into consideration the preferences of decision-makers. Jinturkar and Deshmukh (2011) developed a fuzzy mixed integer goal programming model to plan rural energy for domestic use. Izadikhah (2015) introduced a fuzzy goal programming approach to select a practical machine tool for a manufacturing company. Jones and Wall (2015) developed an extended goal programming model to select an offshore wind farm site in the UK, using a parametric analysis at a meta-objective level. The most important aspects specific to the current investigation, which have not been considered in other research related to site selection for a processing plant, are as follows:

The use of fuzzy-weighted binary integer goal programming to select the optimum site for a central processing plant