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Paradigms and Challenges

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TLDR
In this paper, the authors present an overview of the main operational approaches of decision-making-based decision aid and discuss some more philosophical aspects of MCDA, such as the path of realism which leads to the quest for a discussion for discovering, the axiomatic path which is often associated with the quest of norms for prescribing, or the task of constructivism which goes hand-in-hand with the working hypothesis for recommending.
Abstract
The purpose of this introductory part is to present an overall view of what MCDA is today. In Section 1, I will attempt to bring answers to questions such as: what is it reasonable to expect from MCDA? Why decision aiding is more often multicriteria than monocriterion? What are the main limitations to objectivity? Section 2 will be devoted to a presentation of the conceptual architecture that constitutes the main keys for analyzing and structuring problem situations. Decision aiding cannot and must not be envisaged jointly with a hypothesis of perfect knowledge. Different ways for apprehending the various sources of imperfect knowledge will be introduced in Section 3. A robustness analysis is necessary in most cases. The crucial question of how can we take into account all criteria comprehensively in order to compare potential actions to one another will be tackled in Section 4. In this introductory part, I will only present a general framework for positioning the main operational approaches that exist today. In Section 5, I will discuss some more philosophical aspects of MCDA. For providing some aid in a decision context, we have to choose among different paths which one seems to be the most appropriate, or how to combine some of them: the path of realism which leads to the quest for a discussion for discovering, the axiomatic path which is often associated with the quest of norms for prescribing, or the path of constructivism which goes hand in hand with the quest of working hypothesis for recommending.

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Citations
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Journal ArticleDOI

The Design of Robust Value-Creating Supply Chain Networks: A Critical Review †

TL;DR: This paper argues for the assessment of SCN robustness as a necessary condition to ensure sustainable value creation and contributes to framing the foundations for a robust SCN design methodology.
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Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014

TL;DR: The results of this study indicated that in 2013 scholars have published articles more than in other years, and energy, environment and sustainability were ranked as the first areas that have applied MCDM techniques and approaches.
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Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry

TL;DR: Comparison of three popular multi-criteria supplier selection methods in a fuzzy environment indicates that the three fuzzy methods arrive at identical supplier rankings, yet fuzzy GRA requires less computational complexity to generate the same results.
Journal ArticleDOI

Generalised framework for multi-criteria method selection

TL;DR: A methodological and practical framework for selecting suitable MCDA methods for a particular decision situation and consistency between the methods recommended with the proposed approach and those used by the experts in reference cases is indicated.
References
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Book

Decisions with Multiple Objectives: Preferences and Value Trade-Offs

TL;DR: In this article, a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe his true feelings in order to make those critically important, vexing trade-offs between incommensurable objectives.
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Fuzzy Preference Modelling and Multicriteria Decision Support

János Fodor, +1 more
TL;DR: This dissertation aims to provide a history of web exceptionalism from 1989 to 2002, a period chosen in order to explore its roots as well as specific cases up to and including the year in which descriptions of “Web 2.0” began to circulate.
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Multicriteria Methodology for Decision Aiding

TL;DR: This chapter discusses three Operational Approaches for Progressing Beyond the Description Problematic: Modeling Comprehensive Preferences, Coherent Criterion Family, and Specific Difficulties in Choice, Sorting, and Ranking Problematics.
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Robust Discrete Optimization and Its Applications

TL;DR: This paper presents four approaches to handle Uncertainty in Decision Making using a Robust Discrete Optimization Framework and results show how these approaches can be applied to real-world problems.
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Multicriteria Decision-Aid

TL;DR: The Set of Actions.