Grey Situation Decision-Making Theory Based New Method for Solving Multi- Objective Transportation

Abstract

The transportation problems are framed with multi-goals which are evaluated in various scales and in the meantime in conflict. The many-sided quality of the social and monetary atmosphere require express thought of criteria other than cost around then certifiable issues like delivering an item from a few supply origin to a few interest destination can be formulated as multi-objective transportation models. Grey situation decision making is alluding to the procedure of better choice and shortcoming disposal in which different countermeasure should be preferred according to the different events. This paper applied the grey situation decision making theory for the solution of multi-objective transportation problem.

Fuzzy Bounded Separation Method for Solving Fully Fuzzy Interval Integer Transportation Problems

“…Using the unit cost of transportation as an approximate integer interval, Dash and Mohanty [2] proposed a compromise solution strategy for transportation problems. Using the ideas of the upper range, half-width, lower range, and interval center, Patel and Dhodiya [11] suggested a method to transform an interval transportation problem into a traditional multi-objective transportation problem. To discover the best solution to the transportation problem that optimizes profit while decreasing punishment, Mohana [8] presented the zero-point idea.…”