A fuzzy multiple regression model adopted with locally weighted and interval-valued techniques
In this study, a new method for fuzzy linear regression analysis characterized by crisp predictors and fuzzy responses is proposed. The fuzzy responses are decomposed into two separate closed intervals, and then a fuzzy linear regression model is fitted by using the mid-points and ranges of the inte...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
1 January 2026
|
| In: |
Journal of computational and applied mathematics
Year: 2026, Jahrgang: 471, Pages: 1-11 |
| ISSN: | 1879-1778 |
| DOI: | 10.1016/j.cam.2025.116751 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1016/j.cam.2025.116751 Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S0377042725002651 
|
| Verfasserangaben: | Gholamreza Hesamian, Arne Johannssen, Nataliya Chukhrova |
MARC
| LEADER | 00000naa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1934689963 | ||
| 003 | DE-627 | ||
| 005 | 20250826071438.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 250826s2026 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.cam.2025.116751 |2 doi | |
| 035 | |a (DE-627)1934689963 | ||
| 035 | |a (DE-599)KXP1934689963 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 27 |2 sdnb | ||
| 100 | 1 | |a Hesamian, Gholamreza |e VerfasserIn |0 (DE-588)1253108293 |0 (DE-627)1794994149 |4 aut | |
| 245 | 1 | 2 | |a A fuzzy multiple regression model adopted with locally weighted and interval-valued techniques |c Gholamreza Hesamian, Arne Johannssen, Nataliya Chukhrova |
| 264 | 1 | |c 1 January 2026 | |
| 300 | |a 11 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Online verfügbar: 21. Mai 2025, Artikelversion: 24. Mai 2025 | ||
| 500 | |a Gesehen am 26.08.2025 | ||
| 520 | |a In this study, a new method for fuzzy linear regression analysis characterized by crisp predictors and fuzzy responses is proposed. The fuzzy responses are decomposed into two separate closed intervals, and then a fuzzy linear regression model is fitted by using the mid-points and ranges of the interval values that result from the center and bounds of the fuzzy responses. The coefficients of the model are estimated within a three-steps procedure by means of the locally weighted estimation procedure. In each step, the unknown bandwidth for identifying the neighboring data points is specified by means of cross-validation. The fuzzy predicted values are then determined via the mid-points and ranges of the predicted interval values. As for performance assessment and comparison with other fuzzy regression models, two approved goodness-of-fit measures are computed. The practical applicability of the proposed model is investigated in the context of a simulation study and four real-data applications. The empirical results reveal the superiority of the introduced regression model compared to its competitors. | ||
| 650 | 4 | |a Center and range method | |
| 650 | 4 | |a Crisp predictors | |
| 650 | 4 | |a Cross-validation | |
| 650 | 4 | |a Fuzzy responses | |
| 650 | 4 | |a Interval regression | |
| 650 | 4 | |a Locally weighted linear regression | |
| 700 | 1 | |a Johannssen, Arne |e VerfasserIn |0 (DE-588)1104860015 |0 (DE-627)862207738 |0 (DE-576)472927582 |4 aut | |
| 700 | 1 | |a Chukhrova, Nataliya |e VerfasserIn |0 (DE-588)1145053513 |0 (DE-627)1005250170 |0 (DE-576)495594725 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Journal of computational and applied mathematics |d Amsterdam : Elsevier, 1975 |g 471(2026) vom: Jan., Artikel-ID 116751, Seite 1-11 |h Online-Ressource |w (DE-627)266889204 |w (DE-600)1468806-2 |w (DE-576)075962373 |x 1879-1778 |7 nnas |a A fuzzy multiple regression model adopted with locally weighted and interval-valued techniques |
| 773 | 1 | 8 | |g volume:471 |g year:2026 |g month:01 |g elocationid:116751 |g pages:1-11 |g extent:11 |a A fuzzy multiple regression model adopted with locally weighted and interval-valued techniques |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.cam.2025.116751 |x Verlag |x Resolving-System |z kostenfrei |3 Volltext |
| 856 | 4 | 0 | |u https://www.sciencedirect.com/science/article/pii/S0377042725002651 |x Verlag |z kostenfrei |3 Volltext |
| 951 | |a AR | ||
| 992 | |a 20250826 | ||
| 993 | |a Article | ||
| 994 | |a 2026 | ||
| 998 | |g 1145053513 |a Chukhrova, Nataliya |m 1145053513:Chukhrova, Nataliya |d 60000 |d 65300 |e 60000PC1145053513 |e 65300PC1145053513 |k 0/60000/ |k 1/60000/65300/ |p 3 |y j | ||
| 999 | |a KXP-PPN1934689963 |e 4764126044 | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"relHost":[{"part":{"year":"2026","pages":"1-11","text":"471(2026) vom: Jan., Artikel-ID 116751, Seite 1-11","volume":"471","extent":"11"},"pubHistory":["1.1975 -"],"recId":"266889204","language":["eng"],"type":{"bibl":"periodical","media":"Online-Ressource"},"note":["Gesehen am 04.06.2020"],"disp":"A fuzzy multiple regression model adopted with locally weighted and interval-valued techniquesJournal of computational and applied mathematics","title":[{"title_sort":"Journal of computational and applied mathematics","title":"Journal of computational and applied mathematics"}],"physDesc":[{"extent":"Online-Ressource"}],"id":{"issn":["1879-1778"],"eki":["266889204"],"zdb":["1468806-2"]},"origin":[{"publisherPlace":"Amsterdam ; Amsterdam [u.a.]","dateIssuedDisp":"1975-","dateIssuedKey":"1975","publisher":"Elsevier ; North-Holland"}]}],"physDesc":[{"extent":"11 S."}],"id":{"eki":["1934689963"],"doi":["10.1016/j.cam.2025.116751"]},"origin":[{"dateIssuedDisp":"1 January 2026","dateIssuedKey":"2026"}],"name":{"displayForm":["Gholamreza Hesamian, Arne Johannssen, Nataliya Chukhrova"]},"language":["eng"],"recId":"1934689963","note":["Online verfügbar: 21. Mai 2025, Artikelversion: 24. Mai 2025","Gesehen am 26.08.2025"],"type":{"bibl":"article-journal","media":"Online-Ressource"},"title":[{"title_sort":"fuzzy multiple regression model adopted with locally weighted and interval-valued techniques","title":"A fuzzy multiple regression model adopted with locally weighted and interval-valued techniques"}],"person":[{"role":"aut","display":"Hesamian, Gholamreza","roleDisplay":"VerfasserIn","given":"Gholamreza","family":"Hesamian"},{"roleDisplay":"VerfasserIn","display":"Johannssen, Arne","role":"aut","family":"Johannssen","given":"Arne"},{"display":"Chukhrova, Nataliya","roleDisplay":"VerfasserIn","role":"aut","family":"Chukhrova","given":"Nataliya"}]} | ||
| SRT | |a HESAMIANGHFUZZYMULTI1202 | ||