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Research Article

Developing a GIS-based rough fuzzy set granulation model to handle spatial uncertainty for hydrocarbon structure classification, case study: Fars domain, Iran

ORCID Icon & ORCID Icon
Pages 399-412 | Received 16 May 2021, Accepted 15 Dec 2021, Published online: 03 Feb 2022

Figures & data

Figure 1. The phases of the proposed RFSG model.

Figure 1. The phases of the proposed RFSG model.

Figure 2. The study area.

Figure 2. The study area.

Figure 3. Chronostratigraphic chart of Fars province.

Figure 3. Chronostratigraphic chart of Fars province.

Table 1. Classification for the quantity of the condition attributes.

Figure 4. Location of structures in .

Figure 4. Location of structures in .Table 2

Table 2. The first five rows in the weighted and ranked information table for the hydrocarbon system parameters.

Figure 5. Spatial autocorrelation report and its results.

Figure 5. Spatial autocorrelation report and its results.

Figure 6. Thiessen polygons for calculating the fuzzy membership function.

Figure 6. Thiessen polygons for calculating the fuzzy membership function.

Table 3. List of the qualified rules.

Figure 7. (a) Fuzzy entropy of the results. (b) Fuzzy cross-entropy of the results.

Figure 7. (a) Fuzzy entropy of the results. (b) Fuzzy cross-entropy of the results.

Figure 8. Structures granulation of the hydrocarbon structures, according to lower and upper approximation of BGC and GGC.

Figure 8. Structures granulation of the hydrocarbon structures, according to lower and upper approximation of BGC and GGC.

Data availability statement

The data that support the findings of this study are available from the corresponding author, upon reasonable request (https://www.researchgate.net/profile/Sahand-Seraj-2).