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http://hdl.handle.net/11718/19430Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Aggarwal, Manish | - |
| dc.date.accessioned | 2017-06-22T04:38:05Z | - |
| dc.date.available | 2017-06-22T04:38:05Z | - |
| dc.date.issued | 2016 | - |
| dc.identifier.citation | Aggarwal M. (2016). Probabilistic variable precision fuzzy rough sets. IEEE Transactions on Fuzzy Systems, 24(1), 29-39. | en_US |
| dc.identifier.uri | http://hdl.handle.net/11718/19430 | - |
| dc.description.abstract | In the real world, we often encounter varying membership grades due to varying information source values. The fuzzy rough set model is refurbished to develop probabilistic variable precision fuzzy rough set (P-VP-FRS) to deal with this imprecision. The main inspiration behind the proposed P-VP-FRS is our inability to precisely represent the imprecision, which necessitates generalization in the approximations. The adjustable parameters in P-VP-FRS control the tradeoff between the generalization and accuracy. A few measures for quality of approximation and generalization are proposed. The usefulness of P-VP-FRS is shown through a case study. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.subject | Decision making | en_US |
| dc.subject | Fuzzy probabilistic information system | en_US |
| dc.subject | Fuzzy rough sets | en_US |
| dc.subject | Variable precision fuzzy rough sets | en_US |
| dc.title | Probabilistic variable precision fuzzy rough sets | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Journal Articles | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Probabilistic variable_Manish Aggarwal_IEEE Transactions_2016.pdf Restricted Access | 832.29 kB | Adobe PDF | View/Open Request a copy |
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