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Chen T, Xin D, Zhang Z, Chen H, Jiang Q. Decision model of mine shaft development mode based on ISM-GAHP-FCA. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2022. [DOI: 10.3233/jifs-212119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Mineshaft development mode design and decision-making is a complex system theory problem with significant implications for the mine’s investment cost, operational safety, and production efficiency. Because of the many factors that influence mine shaft development mode decision-making, various decision-makers have different worries and inclinations, resulting in greater subjectivity and uncertainty in the decision-making process. The concept of a specialty chain was born out of a belief in group decision-making. By merging and assessing the decision-making information of different groups in the same specialty chain, a systematic decision-making index database of the mine shaft development model was created. To elucidate the correlation model and hierarchical link between the decision-making indexes, the Interpretative Structure Model (ISM) was applied. The multilevel decision-making index system of mine shaft development mode was established. The decision-making group structure was optimized. The relative importance of the Analytical Hierarchy Process (AHP) was modified to determine the scale. A collaborative weight determination method of multiple decision-making groups was established to reduce the influence of individual subjective consciousness on decision-making results. The ISM-GAHP-FCA decision-making model of mine shaft development mode was built in conjunction with Fuzzy Comprehensive Analysis (FCA) to increase fuzzy decision-making information’s integration and analysis ability. The decision-making outcomes from the analysis of 10 typical mine shaft types in China are adaptable to the actual situation. The model can effectively express the hierarchy, significance, and fuzziness of mine shaft development mode decision-making indexes and limit the interference of decision-maker subjectivity on decision-making results.
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Affiliation(s)
| | - Delin Xin
- CCTEG Wuhan Engineering Company, Wuhan, China
| | | | - Hu Chen
- CCTEG Wuhan Engineering Company, Wuhan, China
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Yoseph F, Ahamed Hassain Malim NH, Heikkilä M, Brezulianu A, Geman O, Paskhal Rostam NA. The impact of big data market segmentation using data mining and clustering techniques. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2020. [DOI: 10.3233/jifs-179698] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Fahed Yoseph
- Faculty of Social Sciences, Business and Economics, Åbo Akademi University, Turku, Finland
- Department of School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia
| | | | - Markku Heikkilä
- Faculty of Social Sciences, Business and Economics, Åbo Akademi University, Turku, Finland
| | - Adrian Brezulianu
- Faculty of Electronics, Telecommunications and Information Technology, Gheorghe Asachi Technical University, Iaşi, Romania
| | - Oana Geman
- Department of Health and Human Development, Stefan cel Mare University, Suceava, Romania
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