Analysis of Data Presented by Multisets Using a Linguistic Approach
The problem of the analysis of datasets formed by the results of group expert assessment of objects by a certain set of features is considered. Such datasets may contain mismatched, including conflicting values of object evaluations by the analyzed features. In addition, the values of the assessment...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-04-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/14/5/135 |
| _version_ | 1797536352403718144 |
|---|---|
| author | Liliya A. Demidova Julia S. Sokolova |
| author_facet | Liliya A. Demidova Julia S. Sokolova |
| author_sort | Liliya A. Demidova |
| collection | DOAJ |
| description | The problem of the analysis of datasets formed by the results of group expert assessment of objects by a certain set of features is considered. Such datasets may contain mismatched, including conflicting values of object evaluations by the analyzed features. In addition, the values of the assessments for the features can be not only point, but also interval due to the incompleteness and inaccuracy of the experts’ knowledge. Taking into account all the results of group expert assessment of objects for a certain set of features, estimated pointwise, can be carried out using the multiset toolkit. To process interval values of assessments, it is proposed to use a linguistic approach which involves the use of a linguistic scale in order to describe various strategies for evaluating objects: conservative, neutral and risky, and implement various decision-making strategies in the problems of clustering, classification, and ordering of objects. The linguistic approach to working with objects assessed by a group of experts with setting interval values of assessments has been successfully applied to the analysis of the dataset presented by competitive projects. A herewith, for the dataset under consideration, using various assessment strategies, solutions of clustering, classification, and ordering problems were obtained with the study of the influence of the chosen assessment strategy on the results of solving the corresponding problem. |
| first_indexed | 2024-03-10T11:59:27Z |
| format | Article |
| id | doaj.art-fcbc4f8c71cd4652b08102baf2d5966d |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-10T11:59:27Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-fcbc4f8c71cd4652b08102baf2d5966d2023-11-21T17:06:54ZengMDPI AGAlgorithms1999-48932021-04-0114513510.3390/a14050135Analysis of Data Presented by Multisets Using a Linguistic ApproachLiliya A. Demidova0Julia S. Sokolova1Institute for Information Technologies, Federal State Budget Educational Institution of Higher Education “MIREA–Russian Technological University”, 78, Vernadsky Avenue, 119454 Moscow, RussiaDepartment for Calculating Technics, Federal State Budget Educational Institution of Higher Education “Ryazan State Radio Engineering University”, Gagarin Str. 59/1, 390005 Ryazan, RussiaThe problem of the analysis of datasets formed by the results of group expert assessment of objects by a certain set of features is considered. Such datasets may contain mismatched, including conflicting values of object evaluations by the analyzed features. In addition, the values of the assessments for the features can be not only point, but also interval due to the incompleteness and inaccuracy of the experts’ knowledge. Taking into account all the results of group expert assessment of objects for a certain set of features, estimated pointwise, can be carried out using the multiset toolkit. To process interval values of assessments, it is proposed to use a linguistic approach which involves the use of a linguistic scale in order to describe various strategies for evaluating objects: conservative, neutral and risky, and implement various decision-making strategies in the problems of clustering, classification, and ordering of objects. The linguistic approach to working with objects assessed by a group of experts with setting interval values of assessments has been successfully applied to the analysis of the dataset presented by competitive projects. A herewith, for the dataset under consideration, using various assessment strategies, solutions of clustering, classification, and ordering problems were obtained with the study of the influence of the chosen assessment strategy on the results of solving the corresponding problem.https://www.mdpi.com/1999-4893/14/5/135multisetlinguistic approachinterval assessmentsgroup expert assessmentclusteringclassification |
| spellingShingle | Liliya A. Demidova Julia S. Sokolova Analysis of Data Presented by Multisets Using a Linguistic Approach Algorithms multiset linguistic approach interval assessments group expert assessment clustering classification |
| title | Analysis of Data Presented by Multisets Using a Linguistic Approach |
| title_full | Analysis of Data Presented by Multisets Using a Linguistic Approach |
| title_fullStr | Analysis of Data Presented by Multisets Using a Linguistic Approach |
| title_full_unstemmed | Analysis of Data Presented by Multisets Using a Linguistic Approach |
| title_short | Analysis of Data Presented by Multisets Using a Linguistic Approach |
| title_sort | analysis of data presented by multisets using a linguistic approach |
| topic | multiset linguistic approach interval assessments group expert assessment clustering classification |
| url | https://www.mdpi.com/1999-4893/14/5/135 |
| work_keys_str_mv | AT liliyaademidova analysisofdatapresentedbymultisetsusingalinguisticapproach AT juliassokolova analysisofdatapresentedbymultisetsusingalinguisticapproach |