Sudipta Midya

TL;DR: A new ranking method is used to convert intuitionistic fuzzy multi-objective fixed-charge solid transportation problem with product blending to a deterministic form and a comparison is drawn between the obtained solutions extracted from the approaches.

TL;DR: It is observed from the extracted results that TOPSIS provides a better optimal solution than WGP and fuzzy programming, and overcomes some difficulties which arise in WGP.

TL;DR: This research mainly focuses on presenting an innovative study of a multi-stage multi-objective fixed-charge solid transportation problem with a green supply chain network system under an intuitionistic fuzzy environment and incorporates an application example connected with a real-life industrial problem to display the feasibility and potentiality of the proposed model.

TL;DR: In this paper, a critical analysis is done on the nature of variation of the thunderstorm frequencies over an urban metropolitan location Kolkata (22°32′N, 88°20′E), India with the pre-monsoon and monsoon rainfall amounts during the period 1997-2008.

TL;DR: A multi-objective fixed-charge transportation problem in which the parameters of the objective functions are random rough variables, while the supply and the demand parameters are rough variables is considered, thus making the decision making process more flexible.