Dynamic ranking function to optimize transshipment costs in intuitionistic Type-2 and Type-1 fuzzy environments
Year: 2024
Type: article
Abstract: In the dynamic realm of organizational logistics, accurately minimizing transportation and transshipment costs is crucial, yet often challenging due to inherent uncertainties. This paper introduces a novel application of fuzzy logic to provide a more precise analysis of these costs. Specifically, it develops an innovative ranking function for trapezoidal fuzzy numbers (TrFNs) for Type-2 and Type-1 fuzzy environments, a tool yet unexplored in existing literature. The main contributions of this paper are the idea that a ranking function for TrFNs can significantly improve decision-maker's freedom in cost analysis due to an adherence on all (a, b, c d) parameters of TrFN. A new decision-oriented ranking method for these fuzzy numbers is developed which consists of an inventive algorithm. The method is also considered for intuitionistic TrFNs and applied to solve transshipment costs in fuzzy area. To verify the proposed methodology's efficiency, effectiveness and accuracy a numerical example in Wolfram Mathematica 9.0 is demonstrated showing superior computational performance over existing methods.
Source: Systems and Soft Computing
Authors: Tarun Kumar, Sadhna Chaudhary, Kapil Kumar, Kailash Dhanuk, M.K. Sharma
Institutions: Chaudhary Charan Singh University, University of Delhi
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,500
Funder: University Grants Commission
OpenAlex ID: W4402999348