Paper Info
Title
Multi-objective multi-item fixed-charge solid transportation problem under twofold uncertainty.
Abstract
In this paper, we investigate a multi-objective multi-item fixed-charge solid transportation problem (MOMIFCSTP) with fuzzy-rough variables as coefficients of the objective functions and of the constraints. The main focus of the paper is to analyze MOMIFCSTP under a fuzzy-rough environment for a transporting system. In practical situations, the parameters of a MOMIFCSTP are imprecise in nature, due to several uncontrollable factors. For these reasons, we introduce the fuzzy-rough variables in MOMIFCSTP to tackle vague data which are different from fuzziness and roughness. Fuzzy-rough expected-value operator is employed to convert fuzzy-rough MOMIFCSTP into deterministic MOMIFCSTP. Thereafter, we develop a methodology to solve the deterministic MOMIFCSTP by technique for order preference by similarity to ideal solution (TOPSIS). Three distinct approaches, namely extended TOPSIS, weighted goal programming (WGP) and fuzzy programming, are used to derive Pareto-optimal solution from the suggested model. A comparison is drawn among the optimal solutions which are derived from different approaches. It is observed from the extracted results that TOPSIS provides a better optimal solution than WGP and fuzzy programming. TOPSIS also overcomes some difficulties which arise in WGP. Finally, a real-world (industrial) problem is incorporated to show the applicability and feasibility of the proposed problem.
Year
DOI
Venue
2019
10.1007/s00521-019-04431-2
Neural Computing and Applications
Keywords
Field
DocType
Fixed-charge solid transportation problem, Multi-objective programming, Fuzzy-rough variable, Twofold uncertainty, TOPSIS, Fuzzy programming, Weighted goal programming
Mathematical optimization,Fixed charge,Solid transportation problem,Ideal solution,Fuzzy programming,Goal programming,Operator (computer programming),TOPSIS,Mathematics
Journal
Volume
Issue
ISSN
31
12
0941-0643
Citations 
PageRank 
References 
5
0.40
0
Authors
3
Name
Order
Citations
PageRank
Sankar Kumar Roy110414.63
Sudipta Midya2212.02
Michael U. Gerber31198.80