Fixed-Charge Solid Transportation Problem with Budget Constraints Based on Carbon Emission in Neutrosophic Environment
Metadata
Show full item recordEditorial
Springer
Materia
Fixed-charge transportation problem Multiobjective decision making Carbon emission Neutrosophic linear programming Fuzzy programming Global criterion method Compromise solution
Date
2021-08-03Referencia bibliográfica
Shyamali Ghosh, Sankar Kumar Roy, Jose Luis Verdegay. Fixed-Charge Solid Transportation Problem with Budget Constraints Based on Carbon Emission in Neutrosophic Environment, 03 August 2021, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-705598/v1]
Sponsorship
PID2020-112754GB-I0 B-TIC-640-UGR20Abstract
This paper is to integrate among solid transportation
problem, budget constraints and carbon emission with
probable maximum profit. The limits of air pollution and
climate variation are solely dependent by exerting CO2 gas
and rest greenhouse gases due to myriad transportation system.
Henceforth, it is our apt mission to minimize carbon
emission for pollution free environment. Again transportation
system with single objective is hardly applicable to the
situation with more than one criterion. Therefore multi- objective
decision making is incorporated for designing reallife
transportation problem. Due to time pressure, data limitation,
lack of information or measurement errors in practical
problems, there exist some hesitations or suspicions.
Based on the fact, decision maker considers indeterminacy
in the designed problems. To overcome the restriction on
occurrence and non-occurrence of fuzzy and intuitionistic
fuzzy, neutrosophic set is very important and suitable to accommodate
such general structure of problems. Therefore
neutrosophic environment with neutrosophic linear programming,
fuzzy programming and global criterion method are
profiled to search the compromise solution of the multi- objective
transportation problem (MOTP). Thereafter, the performance
of the considered model is useful by evaluating
a numerical example; and then the derived results are compared.
Finally sensitivity analysis and conclusions with upcoming
works of this research are stated hereafter.