Supply chains are increasingly vulnerable to disruptions due the complex and interconnected nature of global business operations. chain nervousness (SCN) leads inefficiencies in flow goods services. Managing SCN is critical for sustaining continuity operations today’s dynamic uncertain environment. To address this issue, study proposes a strategic framework that integrates key components supply...

This work proposes a Progressive Assisted Sorting Algorithm (PASA) based on a multicriteria evaluation ELECTRE-type method. The purpose of the PASA is to aid a decision maker to progressively sort a set of alternatives into a set of categories, which we considered are ordered (ordinal sorting), following a consistency principle. We consider the principle that if an alternative outranks (is as g...

Given a ®nite set of alternatives A, the sorting (or assignment) problem consists in the assignment of each alternative to one of the pre-de®ned categories. In this paper, we are interested in multiple criteria sorting problems and, more precisely, in the existing method ELECTRE TRI. This method requires the elicitation of preferential parameters (weights, thresholds, category limits,. . .) in ...

A comparative study of ranking river basin planning and development alternatives under a multi-criterion environment, including both qualitative and quantitative aspects using ELECTRE and RANFUW methodologies, is presented in this paper. The purpose is to find the most suitable planning for reservoirs with their associated purposes aimed at the sustained development of one of the major peninsul...

tract: ELECTRE II and III methods enjoy a wide acceptance in solving multi-criteria decision-making (MCDM) lems. Research results in this paper reveal that there are some compelling reasons to doubt the correctness of roposed rankings when the ELECTRE II and III methods are used. In a typical test we first used these ods to determine the best alternative for a given MCDM problem. Next we random...

Purpose: This paper presents an algorithm that can elicitate (infer) all or any combination of ELECTRE Tri-B parameters. For example, a decision-maker maintain the values for indifference, preference, and veto thresholds, our find criteria weights, reference profiles, lambda cutting level. Our approach is inspired by Machine Learning ensemble technique, Random Forest, that, we named as Tree alg...

In this paper, we present (to the best of our knowledge) first outranking method to assign a score each alternative. This is part Electre family, and will call it Electre-Score. contrast Multi-Attribute Value Theory methods, Electre-Score does not construct value function for criterion proceed then aggregation into single value. Instead, makes use relations make comparison with sets reference a...