Work

Optimization of transportation efficiency through fuzzy logic and LINGO software

Year: 2025

Type: article

Abstract: 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.

Source: AIP Advances

DOI: 10.1063/5.0252654

Authors: Zahoor Ahmad Ganie, Zahid Gulzar Khaki, Tanveer Ahmad Tarray, Gazala Salam, Eid Sadun Alotaibi

Institutions: Islamic University of Science and Technology, Islamic University of Science and Technology, Kashmir, Taif University

Language: English

Topic: Survey Sampling and Estimation Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,350