The distances of hesitant fuzzy to solve MCDM problems by using VIKOR Method / Muhammad Faiz Zul Haziq Mohd Farish, Shazawani Shariff and Nurul Nadia Farhana Amran
VlseKriterijumska Optimizacija I Kompromisno Resenja (VIKOR) has been used to interpret distinct types of multiple criteria decision making (MCDM) problems in crisp and fuzzy sets. There are many researchers have used this method since it provides the best alternatives by examining differ scopes and...
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| Format: | Student Project |
| Language: | en |
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2019
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| Online Access: | https://ir.uitm.edu.my/id/eprint/37607/1/37607.PDF https://ir.uitm.edu.my/id/eprint/37607/ |
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| author | Mohd Farish, Muhammad Faiz Zul Haziq Shariff, Shazawani Amran, Nurul Nadia Farhana |
| author_facet | Mohd Farish, Muhammad Faiz Zul Haziq Shariff, Shazawani Amran, Nurul Nadia Farhana |
| author_sort | Mohd Farish, Muhammad Faiz Zul Haziq |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | VlseKriterijumska Optimizacija I Kompromisno Resenja (VIKOR) has been used to interpret distinct types of multiple criteria decision making (MCDM) problems in crisp and fuzzy sets. There are many researchers have used this method since it provides the best alternatives by examining differ scopes and weights of the criteria. MCDM usually refers to make decision for problems that have conflicting criteria. This problem frequently happened in daily life. In this paper, we focus on solving MCDM problems by using three different distances in the hesitant fuzzy set, which are Hesitant Normalized Manhattan distance, Hesitant Normalized Hamming distance and Hesitant Normalized Euclidean distance. We proposed the VIKOR method to solve the ranking in MCDM problems. Firstly, we determine the decision makers' risk preferences to extend the length of the shorter Hesitant Fuzzy Element. After that, we calculate the three distances by using the extended Hesitant Fuzzy decision matrix. Next, the distances are then applied to the VIKOR method to compare the ranking of multi-criteria decision making (MCDM). Later, the optimal solution of the MCDM problems can be obtained if the conditions have been fulfilled. The results from two examples of secondary data obtained shows that Hesitant Normalized Manhattan distance and Hesitant Normalized Hamming distance produce reliable solution to solve MCDM problems. |
| format | Student Project |
| id | my.uitm.ir-37607 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2019 |
| record_format | eprints |
| spelling | my.uitm.ir-376072020-11-24T03:44:58Z https://ir.uitm.edu.my/id/eprint/37607/ The distances of hesitant fuzzy to solve MCDM problems by using VIKOR Method / Muhammad Faiz Zul Haziq Mohd Farish, Shazawani Shariff and Nurul Nadia Farhana Amran Mohd Farish, Muhammad Faiz Zul Haziq Shariff, Shazawani Amran, Nurul Nadia Farhana Fuzzy arithmetic Fuzzy decision making Analytical methods used in the solution of physical problems Fuzzy logic VlseKriterijumska Optimizacija I Kompromisno Resenja (VIKOR) has been used to interpret distinct types of multiple criteria decision making (MCDM) problems in crisp and fuzzy sets. There are many researchers have used this method since it provides the best alternatives by examining differ scopes and weights of the criteria. MCDM usually refers to make decision for problems that have conflicting criteria. This problem frequently happened in daily life. In this paper, we focus on solving MCDM problems by using three different distances in the hesitant fuzzy set, which are Hesitant Normalized Manhattan distance, Hesitant Normalized Hamming distance and Hesitant Normalized Euclidean distance. We proposed the VIKOR method to solve the ranking in MCDM problems. Firstly, we determine the decision makers' risk preferences to extend the length of the shorter Hesitant Fuzzy Element. After that, we calculate the three distances by using the extended Hesitant Fuzzy decision matrix. Next, the distances are then applied to the VIKOR method to compare the ranking of multi-criteria decision making (MCDM). Later, the optimal solution of the MCDM problems can be obtained if the conditions have been fulfilled. The results from two examples of secondary data obtained shows that Hesitant Normalized Manhattan distance and Hesitant Normalized Hamming distance produce reliable solution to solve MCDM problems. 2019 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/37607/1/37607.PDF The distances of hesitant fuzzy to solve MCDM problems by using VIKOR Method / Muhammad Faiz Zul Haziq Mohd Farish, Shazawani Shariff and Nurul Nadia Farhana Amran. (2019) [Student Project] (Unpublished) |
| spellingShingle | Fuzzy arithmetic Fuzzy decision making Analytical methods used in the solution of physical problems Fuzzy logic Mohd Farish, Muhammad Faiz Zul Haziq Shariff, Shazawani Amran, Nurul Nadia Farhana The distances of hesitant fuzzy to solve MCDM problems by using VIKOR Method / Muhammad Faiz Zul Haziq Mohd Farish, Shazawani Shariff and Nurul Nadia Farhana Amran |
| title | The distances of hesitant fuzzy to solve MCDM problems by using VIKOR Method / Muhammad Faiz Zul Haziq Mohd Farish, Shazawani Shariff and Nurul Nadia Farhana Amran |
| title_full | The distances of hesitant fuzzy to solve MCDM problems by using VIKOR Method / Muhammad Faiz Zul Haziq Mohd Farish, Shazawani Shariff and Nurul Nadia Farhana Amran |
| title_fullStr | The distances of hesitant fuzzy to solve MCDM problems by using VIKOR Method / Muhammad Faiz Zul Haziq Mohd Farish, Shazawani Shariff and Nurul Nadia Farhana Amran |
| title_full_unstemmed | The distances of hesitant fuzzy to solve MCDM problems by using VIKOR Method / Muhammad Faiz Zul Haziq Mohd Farish, Shazawani Shariff and Nurul Nadia Farhana Amran |
| title_short | The distances of hesitant fuzzy to solve MCDM problems by using VIKOR Method / Muhammad Faiz Zul Haziq Mohd Farish, Shazawani Shariff and Nurul Nadia Farhana Amran |
| title_sort | distances of hesitant fuzzy to solve mcdm problems by using vikor method / muhammad faiz zul haziq mohd farish, shazawani shariff and nurul nadia farhana amran |
| topic | Fuzzy arithmetic Fuzzy decision making Analytical methods used in the solution of physical problems Fuzzy logic |
| url | https://ir.uitm.edu.my/id/eprint/37607/1/37607.PDF https://ir.uitm.edu.my/id/eprint/37607/ |
| url_provider | http://ir.uitm.edu.my/ |