Optimization of transportation efficiency through fuzzy logic and LINGO software
This paper proposes a new approach to optimize transportation efficiency by integrating fuzzy logic with a multi-objective stratified sampling framework using the LINGO software. Intuitionistic fuzzy programming and randomized response techniques have been adapted in this proposed methodology to ove...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-02-01
|
| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0252654 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849707337268330496 |
|---|---|
| author | Zahoor Ahmad Ganie Zahid Gulzar Khaki Tanveer Ahmad Tarray Gazala Salam Eid Sadun Alotaibi |
| author_facet | Zahoor Ahmad Ganie Zahid Gulzar Khaki Tanveer Ahmad Tarray Gazala Salam Eid Sadun Alotaibi |
| author_sort | Zahoor Ahmad Ganie |
| collection | DOAJ |
| description | This paper proposes a new approach to optimize transportation efficiency by integrating fuzzy logic with a multi-objective stratified sampling framework using the LINGO software. Intuitionistic fuzzy programming and randomized response techniques have been adapted in this proposed methodology to overcome data privacy, cost-effectiveness, and minimization of variation within strata problems. The model was confirmed to be able to lower standard errors, maintain data integrity, and improve transportation management in computational tests. This study significantly contributes to the development of optimization algorithms and transportation systems with a solid basis for accurate, privacy-preserving data collection and efficient decision-making. |
| format | Article |
| id | doaj-art-bc4c3e2792ec4896bcccaac47f0a419d |
| institution | DOAJ |
| issn | 2158-3226 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | AIP Advances |
| spelling | doaj-art-bc4c3e2792ec4896bcccaac47f0a419d2025-08-20T03:15:57ZengAIP Publishing LLCAIP Advances2158-32262025-02-01152025227025227-1010.1063/5.0252654Optimization of transportation efficiency through fuzzy logic and LINGO softwareZahoor Ahmad Ganie0Zahid Gulzar Khaki1Tanveer Ahmad Tarray2Gazala Salam3Eid Sadun Alotaibi4Department of Electrical Engineering, Islamic University of Science and Technology, Kashmir, IndiaDepartment of Electronics and Communication Engineering, Islamic University of Science and Technology, Kashmir, IndiaDepartment of Mathematical Sciences, Islamic University of Science and Technology, Kashmir, IndiaDepartment of Mathematical Sciences, Islamic University of Science and Technology, Kashmir, IndiaDepartment of Mathematics and Statistics, Al-Khurma University College, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaThis paper proposes a new approach to optimize transportation efficiency by integrating fuzzy logic with a multi-objective stratified sampling framework using the LINGO software. Intuitionistic fuzzy programming and randomized response techniques have been adapted in this proposed methodology to overcome data privacy, cost-effectiveness, and minimization of variation within strata problems. The model was confirmed to be able to lower standard errors, maintain data integrity, and improve transportation management in computational tests. This study significantly contributes to the development of optimization algorithms and transportation systems with a solid basis for accurate, privacy-preserving data collection and efficient decision-making.http://dx.doi.org/10.1063/5.0252654 |
| spellingShingle | Zahoor Ahmad Ganie Zahid Gulzar Khaki Tanveer Ahmad Tarray Gazala Salam Eid Sadun Alotaibi Optimization of transportation efficiency through fuzzy logic and LINGO software AIP Advances |
| title | Optimization of transportation efficiency through fuzzy logic and LINGO software |
| title_full | Optimization of transportation efficiency through fuzzy logic and LINGO software |
| title_fullStr | Optimization of transportation efficiency through fuzzy logic and LINGO software |
| title_full_unstemmed | Optimization of transportation efficiency through fuzzy logic and LINGO software |
| title_short | Optimization of transportation efficiency through fuzzy logic and LINGO software |
| title_sort | optimization of transportation efficiency through fuzzy logic and lingo software |
| url | http://dx.doi.org/10.1063/5.0252654 |
| work_keys_str_mv | AT zahoorahmadganie optimizationoftransportationefficiencythroughfuzzylogicandlingosoftware AT zahidgulzarkhaki optimizationoftransportationefficiencythroughfuzzylogicandlingosoftware AT tanveerahmadtarray optimizationoftransportationefficiencythroughfuzzylogicandlingosoftware AT gazalasalam optimizationoftransportationefficiencythroughfuzzylogicandlingosoftware AT eidsadunalotaibi optimizationoftransportationefficiencythroughfuzzylogicandlingosoftware |