During past few decades, fuzzy decision is an important attention in the areas of science, engineering, economic system,
business, etc. To solve day-to-day problem, researchers use fuzzy data in transportation problem for presenting the uncontrollable
factors; and most of multi-objective transportation problems are solved using goal programming. However, when the
problem contains interval-valued data, then the obtained solution was provided by goal programming may not satisfy by all
decision-makers. In such condition, we consider a fixed-charge solid transportation problem in multi-objective environment
where all the data are intuitionistic fuzzy numbers with membership and non-membership function. The intuitionistic fuzzy
transportation problem transforms into interval-valued problem using (α, β)-cut, and thereafter, it reduces into a deterministic
problem using accuracy function. Also the optimum value of alternative corresponds to the optimum value of accuracy
function. A numerical example is included to illustrate the usefulness of our proposed model. Finally, conclusions and future
works with the study are described.Portuguese Foundation for Science and Technology ("FCT-Fundacao para a Ciencia e a Tecnologia"), through the CIDMA-Center for Research and Development in Mathematics and Applications
UID/MAT/ 04106/2019Spanish Ministry of Economy and Competitiveness, FEDER funds from the European Union
TIN2014-55024-P
TIN2017-86647-
