ANALYSIS AND DEVELOPMENT OF METHODS FOR SUPPORTING MANAGEMENT DECISIONS OF THE TAX INSPECTORATE BASED ON PROCESSING FUZZY INFORMATION
| dc.contributor.author | Jamalova, Gulchexra | |
| dc.date.accessioned | 2025-11-24T06:13:50Z | |
| dc.date.available | 2025-11-24T06:13:50Z | |
| dc.date.issued | 2021-11-02 | |
| dc.description.abstract | This article analyzes and substantiates the choice of a method for organizing support to make effective management decisions in the taxation system based on processing fuzzy information from using an expert system with fuzzy inference. | en_US |
| dc.identifier.issn | 2181-9750 | |
| dc.identifier.uri | https://dspace.kstu.uz/xmlui/handle/123456789/3454 | |
| dc.subject | taxpayer, fuzzification, defuzzification, inference, taxpayer distribution methodology, clustering problem, clustering methods, multidimensional data, algorithms and methods of cluster analysis. | en_US |
| dc.title | ANALYSIS AND DEVELOPMENT OF METHODS FOR SUPPORTING MANAGEMENT DECISIONS OF THE TAX INSPECTORATE BASED ON PROCESSING FUZZY INFORMATION | en_US |
| dc.type | Article | en_US |
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