

![0_image_0.png](0_image_0.png)

## 3 Results

Figure 2 shows an overall view of the collected data set in a few coal mines, Iran. 

![0_image_1.png](0_image_1.png)

![0_image_2.png](0_image_2.png)

To employing of the mentioned methods, we must ascribe some appropriate codes to some qualitative attributes (table 1). In first situation, to obtain most main conditional parameters on the dilution, we use RST. After this step, by applying SONFIS-R the simplest rules companion with their memberships functions are displaced. So, on those rules graphical relations of reduct's members are highlighted. In the whole of this paper, we select 21 objects among 30 patterns as training data set and the remained objects get testing data facet. With considering this point that the creation of discernible matrix-in RST- is depend on the transferring of data in to the arbitrary-or best- ranges (bins)-symbolic values-, we employ one dimensional topology grid SOM, in which attributes are transferred within 3 categories: *low (1),* 
medium (2) and high (3) (fig3).Then, the categorized attributes as an information table are assessed by the RST. 

| Table1.attributed codes to some parameters  Attributes Ascribed codes Contract Type Contract work=1 ;Service(state)=2 Drilling Instrument Pic=1 ;Drilling &blasting=2 Direct of Extraction Forward=1 ;Backward=2 Type of Floor Rock Argillite=1 ;Sandy rock=2   |
|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
