A new multi-attribute decision-making method for interval data using support vector machine
There are numerous and various methods for solving the Multi-Attribute Decision-Making (MADM) problems in the literature, such as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Elimination and Choice Expressing Reality (ELECTRE), Analytic Hierarchy Process (AHP), etc. We...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
REA Press
2023-12-01
|
| Series: | Big Data and Computing Visions |
| Subjects: | |
| Online Access: | https://www.bidacv.com/article_190406_b65daf5a7c47d07c5575246ae9832dd7.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832579284392214528 |
|---|---|
| author | Ghassem Farajpour Khanaposhtani |
| author_facet | Ghassem Farajpour Khanaposhtani |
| author_sort | Ghassem Farajpour Khanaposhtani |
| collection | DOAJ |
| description | There are numerous and various methods for solving the Multi-Attribute Decision-Making (MADM) problems in the literature, such as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Elimination and Choice Expressing Reality (ELECTRE), Analytic Hierarchy Process (AHP), etc. We have explored Support Vector Machine (SVM) as an efficient method for solving MADM problems. The SVM technique was proposed for classifying data at first. At the same time, in the current research, this popular method will be used to sort the preference alternatives in a MADM problem with interval data. The accuracy of the proposed technique will be compared with a popular extended method for interval data, say interval TOPSIS. Numerical experiments showed that admissible results can be obtained by the new method. |
| format | Article |
| id | doaj-art-13787d8bd27f4f6f8a7e3519b72b1720 |
| institution | Kabale University |
| issn | 2783-4956 2821-014X |
| language | English |
| publishDate | 2023-12-01 |
| publisher | REA Press |
| record_format | Article |
| series | Big Data and Computing Visions |
| spelling | doaj-art-13787d8bd27f4f6f8a7e3519b72b17202025-01-30T12:23:08ZengREA PressBig Data and Computing Visions2783-49562821-014X2023-12-013413714510.22105/bdcv.2023.190406190406A new multi-attribute decision-making method for interval data using support vector machineGhassem Farajpour Khanaposhtani0Department of Industrial Engineering, Parand Branch, Islamic Azad University, Parand, Iran.There are numerous and various methods for solving the Multi-Attribute Decision-Making (MADM) problems in the literature, such as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Elimination and Choice Expressing Reality (ELECTRE), Analytic Hierarchy Process (AHP), etc. We have explored Support Vector Machine (SVM) as an efficient method for solving MADM problems. The SVM technique was proposed for classifying data at first. At the same time, in the current research, this popular method will be used to sort the preference alternatives in a MADM problem with interval data. The accuracy of the proposed technique will be compared with a popular extended method for interval data, say interval TOPSIS. Numerical experiments showed that admissible results can be obtained by the new method.https://www.bidacv.com/article_190406_b65daf5a7c47d07c5575246ae9832dd7.pdfmulti-criteria decision makingmulti-attribute decision makingsupport vector machinetopsisinterval data |
| spellingShingle | Ghassem Farajpour Khanaposhtani A new multi-attribute decision-making method for interval data using support vector machine Big Data and Computing Visions multi-criteria decision making multi-attribute decision making support vector machine topsis interval data |
| title | A new multi-attribute decision-making method for interval data using support vector machine |
| title_full | A new multi-attribute decision-making method for interval data using support vector machine |
| title_fullStr | A new multi-attribute decision-making method for interval data using support vector machine |
| title_full_unstemmed | A new multi-attribute decision-making method for interval data using support vector machine |
| title_short | A new multi-attribute decision-making method for interval data using support vector machine |
| title_sort | new multi attribute decision making method for interval data using support vector machine |
| topic | multi-criteria decision making multi-attribute decision making support vector machine topsis interval data |
| url | https://www.bidacv.com/article_190406_b65daf5a7c47d07c5575246ae9832dd7.pdf |
| work_keys_str_mv | AT ghassemfarajpourkhanaposhtani anewmultiattributedecisionmakingmethodforintervaldatausingsupportvectormachine AT ghassemfarajpourkhanaposhtani newmultiattributedecisionmakingmethodforintervaldatausingsupportvectormachine |