scholarly journals Homogeneous Groups of Actors in an AHP-Local Decision Making Context: A Bayesian Analysis

Mathematics ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 294 ◽  
Author(s):  
Alfredo Altuzarra ◽  
Pilar Gargallo ◽  
José María Moreno-Jiménez ◽  
Manuel Salvador
Keyword(s):  
Decision Making ◽  
Geometric Mean ◽  
Real Life ◽  
Decision Makers ◽  
Local Context ◽  
Homogeneous Groups ◽  
Decision Tools ◽  
Local Decision ◽  
Local Decision Making

The two procedures traditionally followed for group decision making with the Analytical Hierarchical Process (AHP) are the Aggregation of Individual Judgments (AIJ) and the Aggregation of Individual Priorities (AIP). In both cases, the geometric mean is used to synthesise judgments and individual priorities into a collective position. Unfortunately, positional measures (means) are only representative if dispersion is reduced. It is therefore necessary to develop decision tools that allow: (i) the identification of groups of actors that present homogeneous and differentiated behaviours; and, (ii) the aggregation of the priorities of the near groups to reach collective positions with the greatest possible consensus. Following a Bayesian approach to AHP in a local context (a single criterion), this work proposes a methodology to solve these problems when the number of actors is not high. The method is based on Bayesian comparison and selection of model tools which identify the number and composition of the groups as well as their priorities. This information can be very useful to identify agreement paths among the decision makers that can culminate in a more representative decision-making process. The proposal is illustrated by a real-life case study.

scholarly journals AHP-Group Decision Making Based on Consistency

Mathematics ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 242 ◽  
Author(s):  
Juan Aguarón ◽  
María Teresa Escobar ◽  
José Moreno-Jiménez ◽  
Alberto Turón
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Real Life ◽  
Decision Makers ◽  
Local Context ◽  
Consensus Matrix ◽  
Stability Intervals ◽  
The Individual ◽  
Individual Consistency

The Precise consistency consensus matrix (PCCM) is a consensus matrix for AHP-group decision making in which the value of each entry belongs, simultaneously, to all the individual consistency stability intervals. This new consensus matrix has shown significantly better behaviour with regards to consistency than other group consensus matrices, but it is slightly worse in terms of compatibility, understood as the discrepancy between the individual positions and the collective position that synthesises them. This paper includes an iterative algorithm for improving the compatibility of the PCCM. The sequence followed to modify the judgments of the PCCM is given by the entries that most contribute to the overall compatibility of the group. The procedure is illustrated by means of its application to a real-life situation (a local context) with three decision makers and four alternatives. The paper also offers, for the first time in the scientific literature, a detailed explanation of the process followed to solve the optimisation problem proposed for the consideration of different weights for the decision makers in the calculation of the PCCM.

scholarly journals Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment

2021 ◽  
Author(s):  
Srikant Gupta ◽  
Ahteshamul Haq ◽  
Irfan Ali ◽  
Biswajit Sarkar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Real Life ◽  
Decision Makers ◽  
Supply Chain Network ◽  
Multi Objective ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Hierarchical Decision

AbstractDetermining the methods for fulfilling the continuously increasing customer expectations and maintaining competitiveness in the market while limiting controllable expenses is challenging. Our study thus identifies inefficiencies in the supply chain network (SCN). The initial goal is to obtain the best allocation order for products from various sources with different destinations in an optimal manner. This study considers two types of decision-makers (DMs) operating at two separate groups of SCN, that is, a bi-level decision-making process. The first-level DM moves first and determines the amounts of the quantity transported to distributors, and the second-level DM then rationally chooses their amounts. First-level decision-makers (FLDMs) aimed at minimizing the total costs of transportation, while second-level decision-makers (SLDM) attempt to simultaneously minimize the total delivery time of the SCN and balance the allocation order between various sources and destinations. This investigation implements fuzzy goal programming (FGP) to solve the multi-objective of SCN in an intuitionistic fuzzy environment. The FGP concept was used to define the fuzzy goals, build linear and nonlinear membership functions, and achieve the compromise solution. A real-life case study was used to illustrate the proposed work. The obtained result shows the optimal quantities transported from the various sources to the various destinations that could enable managers to detect the optimum quantity of the product when hierarchical decision-making involving two levels. A case study then illustrates the application of the proposed work.

(Un)used and (un)usable? The role of indicators in local decision-making. A Brazilian case study

Futures ◽  
2015 ◽  
Vol 74 ◽  
pp. 80-92 ◽  
Author(s):  
Antonella Maiello ◽  
Ana Lucia Nogueira de Paiva Britto ◽  
Yasmim Ribeiro Mello ◽  
Paula Sousa de Oliveira Barbosa
Keyword(s):  
Decision Making ◽  
Local Decision ◽  
Local Decision Making ◽  
Brazilian Case

Law and localism: the case of multiple occupancy housing

Legal Studies ◽  
2012 ◽  
Vol 32 (4) ◽  
pp. 551-576 ◽  
Author(s):  
Antonia Layard
Keyword(s):  
Decision Making ◽  
The Political ◽  
Legal Effect ◽  
Local Decision ◽  
Local Decision Making ◽  
Regressive Effects ◽  
Political Logic

This paper investigates how planning regulation constructs the local, encapsulating a locality and prioritising local decision making over regional and national scales. It draws on a case study of the regulation of multiple occupation to make three interrelated points. First, the analysis emphasises the plurality of ‘locals’ and the interrelationships between them. Secondly, the paper explains how the juridification of the local is required to make a locality legally visible. This operationalisation and construction of the local (legally, spatially and socially) must take place before the political logic of localism, the prioritisation of local decision making over other scales of governance, can take legal effect. Thirdly, the paper explains how, once the ‘local’ is legally constructed and can make decisions, this prioritisation of apparently neutral local expertise and knowledge can act to enclose the spatial and social with sometimes powerful exclusionary and regressive effects.

The Role of the Concentration Camps in the Nazi Repression of Prostitutes, 1933-9

2010 ◽  
Vol 45 (3) ◽  
pp. 675-698 ◽  
Author(s):  
Victoria Harris
Keyword(s):  
Decision Making ◽  
Concentration Camps ◽  
Local Decision ◽  
Local Decision Making

This article uses prostitutes as a case study in order to investigate the role of the early concentration camps as centres of detention for social deviants. In contrasting the intensification of repressive policies towards prostitutes against narratives which demonstrate the unexpectedly lax treatment of these women, it explores what the reasons behind these contradictions might have been, and what this demonstrates about the development of these institutions. It asks the following questions. How and why were prostitutes interned? Which bureaucrats were responsible for incarcerating these women and what did they view the role of the camp to be? Were such policies centrally directed or the product of local decision-making? Through asking these questions, the article explores to what extent these camps were unique as mechanisms for the repression and marginalization of prostitutes.

The Veil of Bureaucracy: How Officials Evade Partisan Politics in Participatory Settings

2021 ◽  
pp. 232949652110288
Author(s):  
Meaghan Stiman
Keyword(s):  
Decision Making ◽  
Political Ideology ◽  
Partisan Politics ◽  
Community Voice ◽  
Political Debates ◽  
Local Decision ◽  
Decision Making Processes ◽  
The Veil ◽  
Local Decision Making ◽  
Do So

In theory, participatory democracies are thought to empower citizens in local decision-making processes. However, in practice, community voice is rarely representative, and even in cases of equal representation, citizens are often disempowered through bureaucratic processes. Drawing on the case of a firearm discharge debate from a rural county’s municipal meetings in Virginia, I extend research about how power operates in participatory settings. Partisan political ideology fueled the debate amongst constituents in expected ways, wherein citizens engaged collectivist and individualist frames to sway the county municipal board ( Celinska 2007 ). However, it was a third frame that ultimately explains the ordinance’s repeal: the bureaucratic frame, an ideological orientation to participatory processes that defers decision-making to disembodied abstract rules and procedures. This frame derives its power from its depoliticization potential, allowing bureaucrats to evade contentious political debates. Whoever is best able to wield this frame not only depoliticizes the debate to gain rationalized legitimacy but can do so in such a way to favor a partisan agenda. This study advances gun research and participatory democracy research by analyzing how the bureaucratic frame, which veils partisanship, offers an alternative political possibility for elected officials, community leaders, and citizens to adjudicate partisan debates.

Allocating HIV prevention resources: A tool for state and local decision making

Health Policy ◽  
2008 ◽  
Vol 87 (3) ◽  
pp. 342-349 ◽  
Author(s):  
Anke Richter ◽  
Katherine A. Hicks ◽  
Stephanie R. Earnshaw ◽  
Amanda A. Honeycutt
Keyword(s):  
Decision Making ◽  
Hiv Prevention ◽  
Local Decision ◽  
State And Local ◽  
Local Decision Making

Integration between knowledge management and business process management and its impact on the decision making process in the construction sector: a case study of Jordan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sami Wasef Abuezhayeh ◽  
Les Ruddock ◽  
Issa Shehabat
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Business Process Management ◽  
Process Management ◽  
Business Processes ◽  
Decision Makers ◽  
Decision Making Process ◽  
Construction Sector ◽  
Content Type

Purpose The purpose of this paper is to investigate and explain how organizations in the construction sector can enhance their decision-making process (DMP) by practising knowledge management (KM) and business process management (BPM) activities. A conceptual framework is developed that recognises the elements that impact DMP in terms of KM and BPM. The development of this framework goes beyond current empirical work on KM in addition to BPM as it investigates a wider variety of variables that impact DMP. Design/methodology/approach A case study is undertaken in the context of the construction industry in Jordan. A theoretical framework is developed and assessment of the proposed framework was undertaken through a questionnaire survey of decision-makers in the construction sector and expert interviews. Findings The outcomes of this research provide several contributions to aid decision-makers in construction organizations. Growth in the usage of KM and BPM, in addition to the integration between them, can provide employees with task-related knowledge in the organization’s operative business processes, improve process performance, promote core competence and maximise and optimise business performance. Originality/value Through the production of a framework, this study provides a tool to enable improved decision-making. The framework generates a strong operational as well as theoretical approach to the organizational utilization of knowledge and business processes.

Optimal fuzzy scheduling and sequencing of multiple-period operating room

2017 ◽  
Vol 32 (1) ◽  
pp. 108-121 ◽  
Author(s):  
Abbas Al-Refaie ◽  
Mays Judeh ◽  
Ming-Hsien Li
Keyword(s):  
Optimization Model ◽  
Real Life ◽  
Operating Rooms ◽  
Decision Makers ◽  
Operating Costs ◽  
Optimization Models ◽  
Patients Satisfaction ◽  
Fuzzy Scheduling ◽  
Sequencing Problems

AbstractLittle research has considered fuzzy scheduling and sequencing problem in operating rooms. Multiple-period fuzzy scheduling and sequencing of patients in operating rooms optimization models are proposed in this research taking into consideration patient‘s preference. The objective of the scheduling optimization model is obtaining minimal undertime and overtime and maximum patients' satisfaction about the assigned date. The objective of sequencing the optimization model is both to minimize overtime and to maximize patients' satisfaction about the assigned time. A real-life case study from a hospital that offers comprehensive surgical procedures for all surgical specialties is considered for illustration. Research results showed that the proposed models efficiently scheduled and sequenced patients while considering their preferences and hospitals operating costs. In conclusion, the proposed optimization models may result in improving patient satisfaction, utilizing hospital's resources efficiently, and providing assistance to decision makers and planners in solving effectively fuzzy scheduling and sequencing problems of operating rooms.

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