Spherical fuzzy programming approach to optimize the transportation problem

Abstract

In any real-life problem, decision-making plays a very important role. It is always observable that uncertainty, hesitation, vagueness, etc involves in real-life situations. The
existence of such factors results in increases the difficulty for the decision maker(s) to
decide the accurate/precise, crisp value of parameters involved in the specific problem.
In the present study, the uncertainty included in the transportation problem deals with
the proposed method based on the derived accuracy function. The function is derived
with the centroid method and is further used to convert the fuzzy number into a crisp
value in the proposed approach. The applicability and validity are presented with the
numerical illustration. The superiority and comparative study are shown by applying
it to the real-life transportation problem as a case study of Dinanagar city, India.