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Optimization of seed selection for higher productusing interval valued hesitant fuzzy soft sets |
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| รหัสดีโอไอ | |
| Creator | 1. Sooraj T. R. 2. B. K. Tripathy |
| Title | Optimization of seed selection for higher productusing interval valued hesitant fuzzy soft sets |
| Publisher | Research and Development Office, Prince of Songkla University |
| Publication Year | 2561 |
| Journal Title | Songklanakarin Journal of Science and Technology |
| Journal Vol. | 40 |
| Journal No. | 5 |
| Page no. | 1125-1135 |
| Keyword | agriculture, decision making, interval valued fuzzy soft sets, soft sets, seed selection |
| URL Website | http://rdo.psu.ac.th/sjstweb/index.php |
| ISSN | 0125-3395 |
| Abstract | Nowadays, seed selection is one of the main problems faced by farmers and research into agriculture because of theuncertainties in various factors, such as environmental conditions, quality of seeds etc. Soft set theory introduced by Molodtsov isan efficient modeling technique to handle uncertainty. Hybrid models have been found to be more useful than those relying onone technique. Tripathy et al. introduced very recently the concept of interval valued fuzzy soft sets through the membershipfunction approach. Among the hybrid soft set models, we use the concept of interval valued fuzzy soft sets to select the optimalseeds. In order to illustrate the application of IVFSSs, a decision making algorithm using this notion is proposed and illustratedthrough an example. This algorithm was applied to a large rice seed data set and the results are encouraging. |
