Optimization of seed selection for higher product using interval valued hesitant fuzzy soft sets
Nowadays, seed selection is one of the main problems faced by farmers and research into agriculture because of the uncertainties in various factors, such as environmental conditions, quality of seeds etc. Soft set theory introduced by Molodtsov is an efficient modeling technique to handle uncertai...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Prince of Songkla University
2018-10-01
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| Series: | Songklanakarin Journal of Science and Technology (SJST) |
| Subjects: | |
| Online Access: | https://rdo.psu.ac.th/sjstweb/journal/40-5/19.pdf |
| _version_ | 1811308698951221248 |
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| author | Sooraj T. R. B. K. Tripathy |
| author_facet | Sooraj T. R. B. K. Tripathy |
| author_sort | Sooraj T. R. |
| collection | DOAJ |
| description | Nowadays, seed selection is one of the main problems faced by farmers and research into agriculture because of the
uncertainties in various factors, such as environmental conditions, quality of seeds etc. Soft set theory introduced by Molodtsov is
an efficient modeling technique to handle uncertainty. Hybrid models have been found to be more useful than those relying on
one technique. Tripathy et al. introduced very recently the concept of interval valued fuzzy soft sets through the membership
function approach. Among the hybrid soft set models, we use the concept of interval valued fuzzy soft sets to select the optimal
seeds. In order to illustrate the application of IVFSSs, a decision making algorithm using this notion is proposed and illustrated
through an example. This algorithm was applied to a large rice seed data set and the results are encouraging. |
| first_indexed | 2024-04-13T09:29:10Z |
| format | Article |
| id | doaj.art-8ed4b0d378d04786839340eabd947f5f |
| institution | Directory Open Access Journal |
| issn | 0125-3395 |
| language | English |
| last_indexed | 2024-04-13T09:29:10Z |
| publishDate | 2018-10-01 |
| publisher | Prince of Songkla University |
| record_format | Article |
| series | Songklanakarin Journal of Science and Technology (SJST) |
| spelling | doaj.art-8ed4b0d378d04786839340eabd947f5f2022-12-22T02:52:21ZengPrince of Songkla UniversitySongklanakarin Journal of Science and Technology (SJST)0125-33952018-10-014051125113510.14456/sjst-psu.2018.139Optimization of seed selection for higher product using interval valued hesitant fuzzy soft setsSooraj T. R.0B. K. Tripathy1Department of Computer Science, Providence College of Engineering, Chengannur, Alappuzha, 689122 IndiaSchool of Computer Science and Engineering, VIT University, Vellore, Tamilnadu, 632014 IndiaNowadays, seed selection is one of the main problems faced by farmers and research into agriculture because of the uncertainties in various factors, such as environmental conditions, quality of seeds etc. Soft set theory introduced by Molodtsov is an efficient modeling technique to handle uncertainty. Hybrid models have been found to be more useful than those relying on one technique. Tripathy et al. introduced very recently the concept of interval valued fuzzy soft sets through the membership function approach. Among the hybrid soft set models, we use the concept of interval valued fuzzy soft sets to select the optimal seeds. In order to illustrate the application of IVFSSs, a decision making algorithm using this notion is proposed and illustrated through an example. This algorithm was applied to a large rice seed data set and the results are encouraging.https://rdo.psu.ac.th/sjstweb/journal/40-5/19.pdfagriculturedecision makinginterval valued fuzzy soft setssoft setsseed selection |
| spellingShingle | Sooraj T. R. B. K. Tripathy Optimization of seed selection for higher product using interval valued hesitant fuzzy soft sets Songklanakarin Journal of Science and Technology (SJST) agriculture decision making interval valued fuzzy soft sets soft sets seed selection |
| title | Optimization of seed selection for higher product using interval valued hesitant fuzzy soft sets |
| title_full | Optimization of seed selection for higher product using interval valued hesitant fuzzy soft sets |
| title_fullStr | Optimization of seed selection for higher product using interval valued hesitant fuzzy soft sets |
| title_full_unstemmed | Optimization of seed selection for higher product using interval valued hesitant fuzzy soft sets |
| title_short | Optimization of seed selection for higher product using interval valued hesitant fuzzy soft sets |
| title_sort | optimization of seed selection for higher product using interval valued hesitant fuzzy soft sets |
| topic | agriculture decision making interval valued fuzzy soft sets soft sets seed selection |
| url | https://rdo.psu.ac.th/sjstweb/journal/40-5/19.pdf |
| work_keys_str_mv | AT soorajtr optimizationofseedselectionforhigherproductusingintervalvaluedhesitantfuzzysoftsets AT bktripathy optimizationofseedselectionforhigherproductusingintervalvaluedhesitantfuzzysoftsets |