Aggregation of Preferences on Criteria Importance Expressed on Various Subsets by Several Decision Makers

2017 ◽  
pp. 377-388
Author(s):  
Christophe Labreuche
Keyword(s):  
Decision Makers ◽  
Aggregation Of Preferences ◽  
Criteria Importance

scholarly journals Evaluation of Criteria for the Implementation of High-Performance Computing (HPC) in Danube Region Countries Using Fuzzy PIPRECIA Method

2020 ◽  
Vol 12 (7) ◽  
pp. 3017 ◽  
Author(s):  
Milovan Tomašević ◽  
Lucija Lapuh ◽  
Željko Stević ◽  
Dragiša Stanujkić ◽  
Darjan Karabašević
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Correlation Coefficients ◽  
Business Environment ◽  
Decision Makers ◽  
Fuzzy Environment ◽  
Danube Region ◽  
Criteria Importance ◽  
Importance Assessment ◽  
Performance Computing

The use of computers with outstanding performance has become a real necessity in order to achieve greater efficiency and sustainability for the accomplishment of various tasks. Therefore, with the development of information technology and increasing dynamism in the business environment, it is expected that these computers will be more intensively deployed. In this paper, research was conducted in Danube region countries: Austria, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Germany, Hungary, Moldova, Montenegro, Romania, Serbia, Slovakia, Slovenia, and Ukraine. The aim of the research was to determine what criteria are most significant for the introduction of high-performance computing and the real situation in each of the countries. In addition, the aim was to establish the infrastructure needed to implement such a system. In order to determine the partial significance of each criterion and thus the possibility of implementing high-performance computing, a multi-criteria model in a fuzzy environment was applied. The weights of criteria and their rankings were performed using the Fuzzy PIvot Pairwise RElative Criteria Importance Assessment—fuzzy PIPRECIA method. The results indicate different values depend on decision-makers (DMs) in the countries. Spearman’s and Pearson’s correlation coefficients were calculated to verify the results obtained.

On the Aggregation of Preferences in Engineering Design

2001 ◽  
Author(s):  
Beth Allen
Keyword(s):  
Engineering Design ◽  
Collaborative Design ◽  
Design Space ◽  
Decision Makers ◽  
Impossibility Theorem ◽  
Von Neumann ◽  
Aggregation Of Preferences ◽  
Ordinal Preferences ◽  
Additive Separability ◽  
Alternative Designs

Abstract This paper considers the possibility for aggregation of preferences in engineering design. Arrow’s Impossibility Theorem applies to the aggregation of individuals’ (ordinal) preferences defined over a finite number of alternative designs. However, when the design space is infinite and when all individuals have monotone preferences or have von Neumann-Morgenstern (cardinal) utilities defined over lotteries, possibility results are available. Alternative axiomatic frameworks lead to additional aggregation procedures for cardinal utilities. For these results about collaborative design, aggregation occurs with respect to decision makers and not attributes, although some of the possibility results preserve additive separability in attributes.

scholarly journals A Hybrid MCDM Model to Evaluate and Classify Outsourcing Providers in Manufacturing

Symmetry ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 1962
Author(s):  
Ching-Fang Liaw ◽  
Wan-Chi Jackie Hsu ◽  
Huai-Wei Lo
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Decision Makers ◽  
Operating Costs ◽  
Visual Rating ◽  
Proposed Model ◽  
Ideal Solutions ◽  
Four Levels ◽  
Criteria Importance ◽  
Outsourcing Strategies

It is a common practice for enterprises to use outsourcing strategies to reduce operating costs and improve product competitiveness. Outsourcing providers or operators need to be aware of environmental protection and make products comply with the restrictions of international environmental regulations. Therefore, this study proposes a set of multiple criteria decision-making (MCDM) approaches for systematic green outsourcing evaluation. First, a team of experts is established to discuss mutually dependent relationships among criteria, and the decision-making trial and evaluation laboratory (DEMATEL) technique is applied to generate subjective influential weights. Then, a large amount of data from outsourcing providers is collected, and the criteria importance through the intercriteria correlation (CRITIC) method is used to obtain the objective influential weights. Finally, a novel classifiable technique for ordering preference based on similarity to ideal solutions (classifiable TOPSIS) is proposed to integrate the performance of green outsourcing providers and classify them into four levels. The classifiable TOPSIS improves the shortcomings of conventional TOPSIS and establishes a visual rating diagram to help decision-makers to distinguish the performance of outsourcing providers more clearly. Taking a Taiwanese multinational machine tool manufacturer as an example, the performance of outsourcing providers related to manufacturing activities was investigated to demonstrate the effectiveness and applicability of this proposed model.

A Weighted Least-Square Dissimilarity Approach for Multiple Criteria ABC Inventory Classification

2018 ◽  
Vol 35 (04) ◽  
pp. 1850025 ◽  
Author(s):  
Sisi Wu ◽  
Yelin Fu ◽  
K. K. Lai ◽  
W. K. John Leung
Keyword(s):  
Classification Problem ◽  
Multiple Criteria ◽  
Least Square ◽  
Decision Makers ◽  
Group Consensus ◽  
Multiple Decision Makers ◽  
Weighted Least Square ◽  
Common Weights ◽  
The Common ◽  
Criteria Importance

The present paper develops a weighted least-square dissimilarity approach to address the Multiple Criteria ABC inventory classification problem, when the different criteria ranking makes impossible to achieve a group consensus. The proposed approach effectively eliminates drawbacks regarding subjective judgements of multiple decision makers on the criteria importance, and comprehensively aggregates all rankings of the criteria importance to provide a more reasonable and effective classification mechanism. The common weights associated with all rankings are determined. An illustrative example is presented to compare the performance of our approach with the existing studies.

scholarly journals APLICAÇÃO DO MÉTODO SIMPLE AGGREGATION OF PREFERENCES EXPRESSED BY ORDINAL VECTORS – MULTI DECISION MAKERS (SAPEVO-M) NA SELEÇÃO DE FORNECEDORES DE CAIXA DE PAPELÃO

2020 ◽  
Author(s):  
Guilherme Castro Xavier da Silva ◽  
Marcos dos Santos ◽  
Luiz Frederico Horácio de S. de B. Teixeira ◽  
Carlos Francisco Simões Gomes ◽  
Angélica Rodrigues de Lima
Keyword(s):  
Decision Makers ◽  
Aggregation Of Preferences

scholarly journals Deliberative democracy and the problem of it’s practical implementation

2012 ◽  
Vol 23 (2) ◽  
pp. 187-202
Author(s):  
Ivana Jankovic
Keyword(s):  
Deliberative Democracy ◽  
Decision Makers ◽  
Practical Implementation ◽  
Aggregation Of Preferences ◽  
Amy Gutmann

Deliberative democracy holds that, for a democratic decision to be legitimate, it must be preceded by deliberation among decision-makers. This means that democratic decision cannot be merely the aggregation of preferences that occurs in voting. Thus, citizens may change their initial opinions and preferences as a result of the reflection induced by deliberative communication and by taking into account other people?s opinions. The aim of this paper is to outline the view of deliberative democracy developed by Amy Gutmann and Dennis Thompson as well as to address some of the concerns raised by the critics regarding its practical implementation.

scholarly journals APLICAÇÃO DO MÉTODO SIMPLE AGGREGATION OF PREFERENCES EXPRESSED BY ORDINAL VECTORS - MULTI DECISION MAKERS (SAPEVO-M) PARA SELEÇÃO DE VIATURAS BLINDADAS DO CORPO DE FUZILEIROS NAVAIS (CFN) EM MISSÕES DE GARANTIA DA LEI E DA ORDEM (GLO)

2020 ◽  
Author(s):  
Gabriel Henrique Fernandes ◽  
Roberta Anastácia Palermo Fernandes ◽  
Marcos dos Santos ◽  
Luiz Frederico Horácio de S. de B. Teixeira ◽  
Carlos Francisco Simões Gomes
Keyword(s):  
Decision Makers ◽  
Aggregation Of Preferences

EURRECA’s Approach for Estimating Micronutrient Requirements

2011 ◽  
Vol 81 (4) ◽  
pp. 256-263 ◽  
Author(s):  
Christophe Matthys ◽  
Pieter van ‘t Veer ◽  
Lisette de Groot ◽  
Lee Hooper ◽  
Adriënne E.J.M. Cavelaars ◽  
...  
Keyword(s):  
Reference Values ◽  
Policy Decision ◽  
Individual Variability ◽  
The Body ◽  
Decision Makers ◽  
Nutrient Requirements ◽  
Factorial Approach ◽  
Dietary Reference Values ◽  
Health Policy Decision ◽  
Quantitative Integration

In Europe, micronutrient dietary reference values have been established by (inter)national committees of experts and are used by public health policy decision-makers to monitor and assess the adequacy of diets within population groups. The approaches used to derive dietary reference values (including average requirements) vary considerably across countries, and so far no evidence-based reason has been identified for this variation. Nutrient requirements are traditionally based on the minimum amount of a nutrient needed by an individual to avoid deficiency, and is defined by the body’s physiological needs. Alternatively the requirement can be defined as the intake at which health is optimal, including the prevention of chronic diet-related diseases. Both approaches are confronted with many challenges (e. g., bioavailability, inter and intra-individual variability). EURRECA has derived a transparent approach for the quantitative integration of evidence on Intake-Status-Health associations and/or Factorial approach (including bioavailability) estimates. To facilitate the derivation of dietary reference values, EURopean micronutrient RECommendations Aligned (EURRECA) is developing a process flow chart to guide nutrient requirement-setting bodies through the process of setting dietary reference values, which aims to facilitate the scientific alignment of deriving these values.

Haunted by a Doppelgänger

2014 ◽  
Vol 61 (1) ◽  
pp. 12-22 ◽  
Author(s):  
Bettina von Helversen ◽  
Stefan M. Herzog ◽  
Jörg Rieskamp
Keyword(s):  
Relevant Information ◽  
Psychological Research ◽  
Decision Makers ◽  
Human Judgment ◽  
Rule Based ◽  
New Employees ◽  
High Performing ◽  
Facial Similarity ◽  
Similarity Effect ◽  
Judgment Strategy

Judging other people is a common and important task. Every day professionals make decisions that affect the lives of other people when they diagnose medical conditions, grant parole, or hire new employees. To prevent discrimination, professional standards require that decision makers render accurate and unbiased judgments solely based on relevant information. Facial similarity to previously encountered persons can be a potential source of bias. Psychological research suggests that people only rely on similarity-based judgment strategies if the provided information does not allow them to make accurate rule-based judgments. Our study shows, however, that facial similarity to previously encountered persons influences judgment even in situations in which relevant information is available for making accurate rule-based judgments and where similarity is irrelevant for the task and relying on similarity is detrimental. In two experiments in an employment context we show that applicants who looked similar to high-performing former employees were judged as more suitable than applicants who looked similar to low-performing former employees. This similarity effect was found despite the fact that the participants used the relevant résumé information about the applicants by following a rule-based judgment strategy. These findings suggest that similarity-based and rule-based processes simultaneously underlie human judgment.

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