Partial preference structure with fuzzy relations for MCDM problems

Abstract

A fuzzy outranking relation to solve a multiple criteria decision-making (MCDM) problem involving a discrete set of incomparable decision alternatives is investigated. The relation is exploited to rank the alternatives in various classes in a preferential order for their sequential implementation using fuzzy graph theory. A numerical example is solved to highlight the procedure.