Extension of the TOPSIS Method for Decision Making Problems under Complex Fuzzy Data Based on the Central Point Index
This paper presents the CP-TOPSIS Model in group decision-making using complex Fuzzy Data. Complex numbers were employed in this model, and the central point index was used to define both the negative and positive ideals as well as the distance between each option. In this approach, the options are...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2022/1477098 |
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| author | Salameh Barbat Mahnaz Barkhordariahmadi Vahidmomenaei Kermani |
| author_facet | Salameh Barbat Mahnaz Barkhordariahmadi Vahidmomenaei Kermani |
| author_sort | Salameh Barbat |
| collection | DOAJ |
| description | This paper presents the CP-TOPSIS Model in group decision-making using complex Fuzzy Data. Complex numbers were employed in this model, and the central point index was used to define both the negative and positive ideals as well as the distance between each option. In this approach, the options are graded using complex data (due to replacing linguistic variables). One of the advantages of this model in decision-making is the capability that creates a complex fuzzy technique for investigating, grading, and selecting the best option related to complex fuzzy data. The results show that this model effectively rates and grades the complex fuzzy data through an alternative period. Quantum mechanics wave functions could not be analyzed, nor could signals or time series or stock exchange transactions predict factors of a multiperiod alternation, nor could predictions be made about any of these variables. As a result, there are numerical results in rating with high precision. |
| format | Article |
| id | doaj-art-2a5c6fafc8ba4e36b70a49970024d0c9 |
| institution | Kabale University |
| issn | 1687-711X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-2a5c6fafc8ba4e36b70a49970024d0c92025-02-03T01:22:43ZengWileyAdvances in Fuzzy Systems1687-711X2022-01-01202210.1155/2022/1477098Extension of the TOPSIS Method for Decision Making Problems under Complex Fuzzy Data Based on the Central Point IndexSalameh Barbat0Mahnaz Barkhordariahmadi1Vahidmomenaei Kermani2Department MathematicsDepartment MathematicsDepartment MathematicsThis paper presents the CP-TOPSIS Model in group decision-making using complex Fuzzy Data. Complex numbers were employed in this model, and the central point index was used to define both the negative and positive ideals as well as the distance between each option. In this approach, the options are graded using complex data (due to replacing linguistic variables). One of the advantages of this model in decision-making is the capability that creates a complex fuzzy technique for investigating, grading, and selecting the best option related to complex fuzzy data. The results show that this model effectively rates and grades the complex fuzzy data through an alternative period. Quantum mechanics wave functions could not be analyzed, nor could signals or time series or stock exchange transactions predict factors of a multiperiod alternation, nor could predictions be made about any of these variables. As a result, there are numerical results in rating with high precision.http://dx.doi.org/10.1155/2022/1477098 |
| spellingShingle | Salameh Barbat Mahnaz Barkhordariahmadi Vahidmomenaei Kermani Extension of the TOPSIS Method for Decision Making Problems under Complex Fuzzy Data Based on the Central Point Index Advances in Fuzzy Systems |
| title | Extension of the TOPSIS Method for Decision Making Problems under Complex Fuzzy Data Based on the Central Point Index |
| title_full | Extension of the TOPSIS Method for Decision Making Problems under Complex Fuzzy Data Based on the Central Point Index |
| title_fullStr | Extension of the TOPSIS Method for Decision Making Problems under Complex Fuzzy Data Based on the Central Point Index |
| title_full_unstemmed | Extension of the TOPSIS Method for Decision Making Problems under Complex Fuzzy Data Based on the Central Point Index |
| title_short | Extension of the TOPSIS Method for Decision Making Problems under Complex Fuzzy Data Based on the Central Point Index |
| title_sort | extension of the topsis method for decision making problems under complex fuzzy data based on the central point index |
| url | http://dx.doi.org/10.1155/2022/1477098 |
| work_keys_str_mv | AT salamehbarbat extensionofthetopsismethodfordecisionmakingproblemsundercomplexfuzzydatabasedonthecentralpointindex AT mahnazbarkhordariahmadi extensionofthetopsismethodfordecisionmakingproblemsundercomplexfuzzydatabasedonthecentralpointindex AT vahidmomenaeikermani extensionofthetopsismethodfordecisionmakingproblemsundercomplexfuzzydatabasedonthecentralpointindex |