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Building additive utilities for multi-group hierarchical discrimination: the M.H.Dis method *

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TLDR
In this article, the authors proposed a new method for mutligroup discrimination based on a hierarchical procedure (Multi-Group Hierarchical Discrimination-M.H. DIS) which is evaluated along with eight real world case studies from the fields of finance and marketing.
Abstract
The discrimination problem is of major interest in fields such as environmental management, human resources management, production management, finance, marketing, medicine, etc.For decades this problem has been studied from a multivariate statistical point of view. Recently the possibilities of new approaches have been explored, based mainly on mathematical programming. This paper follows the methodological frame work of multicriteria decision aid (MCDA), to propose a new method for mutligroup discrimination based on a hierarchical procedure (Multi-Group Hierarchical Discrimination-M.H. DIS). The performance of the M.H.DIS method is evaluated along with eight real world case studies from the fields of finance and marketing. A Comparison is also performed with other MCDA methods.

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Citations
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Multicriteria classification and sorting methods: A literature review

TL;DR: The objective of this paper is to review the research conducted on the framework of the multicriteria decision aiding (MCDA).
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Supplier evaluation and management system for strategic sourcing based on a new multicriteria sorting procedure

TL;DR: In this paper, a supplier evaluation and management methodology for strategic sourcing is described, in which suppliers are assessed considering supplier's co-design capabilities and categorized based on overall performances, potential reasons for differences in performance of supplier groups are identified, and performances of the suppliers are improved by applying supplier development programs.
Journal ArticleDOI

An extension of the Electre I method for group decision-making under a fuzzy environment

TL;DR: This study proposes an alternative fuzzy outranking method by extending the Electre I method to take into account the uncertain, imprecise and linguistic assessments provided by a group of DMs, and shows that contrary to the TOPSIS rankings, the electre approach reveals more useful information including the incomparability among the actions.
Journal ArticleDOI

Multi‐criteria decision aid in financial decision making: methodologies and literature review

TL;DR: In this paper, the authors provide an in-depth presentation of the contributions of Multi-Criteria Decision Aid (MCDA) in the field of finance, focusing on the methods used and their real-world applications.
Journal ArticleDOI

Multiple criteria sorting with a set of additive value functions

TL;DR: A new multiple criteria sorting method that aims at assigning actions evaluated on multiple criteria to p pre-defined and ordered classes through the resolution of linear programs.
References
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Journal ArticleDOI

Business failure prediction using rough sets

TL;DR: The rough set approach is used to provide a set of rules able to discriminate between healthy and failing firms in order to predict business failure and the results are very encouraging, compared with those of discriminant and logit analyses.
Journal ArticleDOI

Inferring an ELECTRE TRI Model from Assignment Examples

TL;DR: An interactive approach that infers the parameters of an ELECTRE TRI model from assignment examples is proposed that lies in the possibility given to the DM to revise his/her assignment examples and/or to give additional information before the optimization phase restarts.
Journal ArticleDOI

Simple but powerful goal programming models for discriminant problems

TL;DR: In this paper, the authors suggest alternative assignment procedures, utilizing a set of interrelated goal programming formulations, and demonstrate the potential of these procedures to play a significant part in addressing the discriminant problem, and indicate fundamental ideas that lay the foundation for other sophisticated approaches.
BookDOI

Advances in multicriteria analysis

TL;DR: This paper presents a methodology for choosing a decision-aid method for multiple-objective mathematical programming and an application of the UTA discriminant model for the evaluation of R&D projects.
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