scholarly journals Dynamic setting of shipping points in logistics systems with multiple heterogeneous warehousesorecasting the confidence interval of efficiency in fuzzy DEA

2021 ◽  
Vol 31 (2) ◽  
Author(s):  
Dobromir Herzog
Keyword(s):  
Decision Making ◽  
Confidence Interval ◽  
Planning Process ◽  
Real Life ◽  
Logistics Systems ◽  
Geographically Dispersed ◽  
Dynamic Setting ◽  
The One ◽  
Fuzzy Dea ◽  
Better Than

This study aims to model a planning process of handling outbound deliveries from a set of geographically dispersed warehouses. The model incorporates parameters observed in real life supply chains and allows simulation of various variants of process supporting decision making of current shipment management, as well as strategic planning of distribution network. A heuristic algorithm that can be used for planning of source warehouses for shipments is proposed. The model is built and tested on real business data and its performance proves to be better than the one currently used by reference company.

scholarly journals One-year efficacy and safety of the Trufill DCS Orbit and Orbit Galaxy detachable coils in the endovascular treatment of intracranial aneurysms: Results from the TRULINE study

2017 ◽  
Vol 23 (5) ◽  
pp. 485-491 ◽  
Author(s):  
Benjamin Gory ◽  
Laure Huot ◽  
Roberto Riva ◽  
Paul E Labeyrie ◽  
Olivier Levrier ◽  
...  
Keyword(s):  
Confidence Interval ◽  
Real Life ◽  
Data Safety Monitoring Board ◽  
Endovascular Coiling ◽  
Independent Evaluation ◽  
Detachable Coils ◽  
One Year ◽  
Intent To Treat ◽  
The One

Background and purpose No series reported the mid-term results of Trufill DCS Orbit and Orbit Galaxy detachable coils with independent evaluation. We present the one-year safety and efficacy of these coils in real-life routine clinical practice. Methods A total of 167 patients with 167 aneurysms (39.1% ruptured) were enrolled in the prospective TRULINE study. The primary endpoint was the safety, assessed by the combined morbidity-mortality rate observed since the time of the procedure and up to one-year follow-up. For safety, primary analyses were performed on intent-to-treat population (attempted coils procedure) and all adverse events have been reviewed by an independent Data Safety Monitoring Board. For efficacy, primary analyses were performed on the per-protocol population (patients treated with more than 70% of Trufill coils and not retreated during the follow-up period) and an independent core laboratory evaluated angiographic results. Results At one-year post-procedure, neurologic impairment was observed in 6.5% (95% confidence interval: 3.5–11.8) of the patients, and 2.6% (95% confidence interval: 1.0–6.8) had a permanent neurological deterioration. Three deaths were observed, unrelated to the procedure or coils. At one year, complete occlusion was seen in 52 aneurysms (54.2%), neck remnant in 28 aneurysms (29.2%), and aneurysm remnant in 16 aneurysms (16.7%). During the one-year follow-up, the overall incidence of recurrence was 30.2% with a mean interval of 13.8 ± 4.5 months and the retreatment for major recanalization was needed in nine patients (6.3%). Conclusions The TRULINE study confirms that endovascular coiling with Trufill DCS Orbit and Orbit Galaxy detachable coils is safe and effective.

scholarly journals EUREKATAX: A Taxonomy for the Representation and Analysis of Qualitative Usability Test Data

2020 ◽  
Vol 4 (2) ◽  
pp. 22
Author(s):  
Panagiotis Germanakos ◽  
Ludwig Fichte
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Empirical Data ◽  
Formal Method ◽  
Real Life ◽  
Learning Activity ◽  
Perceived Fit ◽  
Usability Tests ◽  
Usability Research ◽  
The One

Usability tests serve as an insightful source of feedback for product teams that want to deliver user-centered solutions and enhance the User Experience (UX) of their products and services. However, in many cases, formative usability tests in particular may generate a large volume of qualitative and unstructured data that need to be analyzed for decision making and further actions. In this paper, we discuss a more formal method of analyzing empirical data, using a taxonomy, namely Engineering Usability Research Empirical Knowledge and Artifacts Taxonomy (EUREKATAX). We describe how it can provide guidance and openness for transforming fuzzy feedback statements into actionable items. The main aim of the proposed method is to facilitate a more holistic and standardized process to empirical data analysis while adapting on the solution or context. The main contributions of this work comprise the: (a) definition of the proposed taxonomy which represents an organization of information structured in a hierarchy of four main categories (discover, learn, act, and monitor), eight sub-categories, and 52 items (actions/operations with their respective properties); (b) description of a method, that is expressed through the taxonomy, and adheres to a systematic but modular approach for analyzing data collected from the usability studies for decision making and implementation; (c) formulation of the taxonomy’s theoretical framework based on meticulously selected principles like experiential learning, activity theory: learning by expanding, and metacognition, and (d) extended evaluation into two phases, with 80 UX experts and business professionals, showing on the one hand the strong reliability of the taxonomy and high perceived fit of the items in the various classifications, and on the other hand the high perceived usability, usefulness and acceptability of the taxonomy when put into practice in real-life conditions. These findings are really encouraging, in an attempt to generate comparable, generalizable and replicable results of usability tests’ qualitative data analysis, thereby improving the UX and impact of software solutions.

Vehicular Traffic Forecasting in Filling Station

2017 ◽  
pp. 243-262
Author(s):  
Peeyush Pandey ◽  
Tuhin Sengupta
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Future Trend ◽  
Decision Making Process ◽  
Clear Understanding ◽  
Data Set ◽  
Traffic Forecasting ◽  
Single Data ◽  
The One ◽  
Forecasting Techniques

Forecasting is the one of the important part of decision making process. It helps managers to identify short term and long term future trends in the business activities. It may help in forecasting demand in retail store, predicting customer traffic at the petrol pump, calculation of probable population in upcoming years etc. There are plenty of studies published on forecasting techniques which are just introductory or highly mathematical and lacks in providing managerial perspective of solving business problems to the students. This chapter elucidates various forecasting techniques and its application in the field of management. In addition, various examples of real life problems are solved and analyzed with multiple forecasting techniques. Through this chapter students will have a clear understanding of the various nuances of different forecasting models in one single data set. Students will be able to identify future trend and seasonality in real life data set and evaluate more appropriate forecasting technique for the decision-making process.

The People’s Plan? Participation and Post-Politics in Flint’s Master Planning Process

2017 ◽  
Vol 45 (1) ◽  
pp. 85-101 ◽  
Author(s):  
Jacob Lederman
Keyword(s):  
Decision Making ◽  
Citizen Participation ◽  
Public Discourse ◽  
Urban Governance ◽  
Planning Process ◽  
Master Planning ◽  
The Public ◽  
Democratic Engagement ◽  
Local Officials ◽  
The One

Drawing upon an analysis of Flint’s 2012–2013 master planning process, this article explores a puzzling set of questions: Why would a city under emergency management with an abrogated democratic process explicitly encourage extensive citizen participation in one of its most important and strategic documents? How does the urge to involve the community in decision-making reflect new priorities of urban governance? The paper suggests that such a paradox can be conceived as a coherent strategy for addressing conflicting priorities. On the one hand, the exigencies of official claims to democratic engagement operate during a period in which public discourse on inequality has grown in prominence. On the other, harsh fiscal constraint compels local officials and stakeholders to create the conditions for new market-led investment as the singular remedy to urban decline. The result is a transformation of the normative boundaries of the public, lauded as democratic, yet narrowly defined as those participating in highly choreographed and non-binding civic rituals. Local stakeholders, outside consultants, and city administrators generated consensus on a set of urban planning best practices deemed conducive to novel forms of growth, suggesting a transferal of authority from elected office holders to non-elected experts. This process then established the conditions under which community participation was pursued. The intertwining of technical expertise and elite decision-making, however, predetermined community input by naturalizing technocratic logics in planning policy, while signaling the post-political bent of some participatory processes in U.S. cities.

Alternative Interfaces for Improved Representation and Cultural Inclusion in Web-Based PPGIS

2020 ◽  
Author(s):  
Timna Denwood ◽  
Jonathan Huck ◽  
Sarah Lindley
Keyword(s):  
Decision Making ◽  
Information Science ◽  
Planning Process ◽  
Contextual Information ◽  
Real Life ◽  
Wind Farms ◽  
Digital Divides ◽  
Elevation Data ◽  
Cost Paths ◽  
Complex Relationships

<p>The development of new infrastructure (such as wind farms) often faces opposition from local citizens and other stakeholders due to concerns over the trade-off between cultural and provisioning services. PPGIS (Public Participatory Geographic Information Science) can be used to collect areas of conflict, as well as obtain qualitative data on existing or proposed infrastructure and therefore minimise disruption at later stages of the planning process. Despite PPGIS being designed to increase democracy in the decision making process, the tools to do so are often lacking. This can result in the data collected being ignored or misinterpreted as it fails to adequately represent the views of citizens as well as the exclusion of certain parties due to digital divides. One way in which current tools are lacking is in the un-critical use of spatial primitives such as points and polygons. They dominate PPGIS tools yet can, in some circumstances, offer a poor representation of the complex relationships between people and place. This research explores three ways in which citizens’ views might be better represented by using alternative PPGIS interfaces. User surveys and interviews were carried out through a case study on the isles of Barra and Vatersay, Outer Hebrides, UK.</p><p>Firstly, we address the challenge of generalisation in line-based PPGIS by asking participants where they would like to see new footpaths. It replaces the traditional line digitisation model with one in which user-generated ‘anchor points’ are joined not with straight edges, but rather with least cost paths. This approach means that the level of generalisation of each line is standardised, based upon the resolution of the underlying elevation data. The standardised level of generalisation also means that similar inputs will follow the same route, avoiding the need for path bundling, which can draw results away from their intended location. As such, realistic and representative outputs can be produced with minimal effort required of the participant. Secondly, we use viewsheds as a spatial unit, drawn in real-time when the user clicks on the map. Participants are asked to click on locations from which they would not wish to be able to see a turbine (e.g. their house), and the map will then be populated with a viewshed delineating the areas in which a turbine could not therefore be placed. This approach is therefore able to better reflect how citizens would experience the installation in real life, rather than simply adding points at locations that they believe to be suitable or unsuitable without any contextual information. Finally, we consider the same questions again, but this time using a paper-based interface instead of the digital. This enables an assessment of how a non-digital PPGIS interface might influence participant accessibility and subsequent analysis.</p><p>We present preliminary results, and explore how alternative spatial units and interfaces might permit researchers to gain greater insight into participants’ spatial thoughts and feelings for more inclusive and representative environmental decision-making.</p>

Medical Diagnosis: A Real Life Application of Logic

1978 ◽  
Vol 71 (6) ◽  
pp. 499-504
Author(s):  
Kenneth P. Goldberg
Keyword(s):  
Decision Making ◽  
Mathematical Logic ◽  
Medical Diagnosis ◽  
Real Life ◽  
Junior College ◽  
The Other ◽  
College Level ◽  
Human Reason ◽  
The One ◽  
Rational Reasoning

Of all the mathematical topics taught at the high school and junior college level, logic must certainly be one of the most frustrating for both students and teachers. On the one hand, the student is told that logic is the necessary basis on which all rational reasoning and decision making rests. On the other hand, since few situations involving human reason are simple enough to permit the application of mathematical logic, it is extremely difficult to discuss and illustrate the use of logic in a believable and interesting manner.

scholarly journals A Theory of Farsightedness in Committee Games

Game Theory ◽  
2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Alphonse Fodouop Fotso ◽  
Joseph Armel Momo Kenfack ◽  
Bertrand Tchantcho
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Decision Making Process ◽  
Solution Concepts ◽  
Bargaining Set ◽  
Committee Decision ◽  
Committee Decision Making ◽  
The One ◽  
Better Than

We study the committee decision making process using game theory. A committee here refers to any group of people who have to select one option from a given set of alternatives under a specified rule. Shenoy (1980) introduced two solution concepts, namely, the one-core and a version of bargaining set for committee games. Shortcomings of these solutions concepts are raised and discussed in this paper. These shortcomings are resolved by introducing two new solutions concepts: the farsighted one-core and the bargaining set revised, inspired by an idea of farsightedness initially defined by Rubinstein (1980). It is shown that the farsighted one-core is always non-empty and is better than the one-core. In a well-specified sense, the bargaining set revised is also better than the bargaining set as defined by Shenoy (1980) and it is always non-empty for simple committee games with linear preferences. Other attractive properties are also proved.

Subjective Time Preference and Willingness to Pay for an Energy-Saving Durable Good

2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink
Keyword(s):  
Willingness To Pay ◽  
Energy Saving ◽  
Subjective Time ◽  
Durable Good ◽  
Discount Function ◽  
Hyperbolic Discount ◽  
The One ◽  
Two Parameter ◽  
Difference Effect ◽  
Better Than

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.

Exploring the Multidimensional Facets of Authoritarianism: Authoritarian Aggression and Social Dominance Orientation

2008 ◽  
Vol 67 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Stefano Passini
Keyword(s):  
Social Dominance ◽  
Factor Model ◽  
Three Dimensional ◽  
Social Dominance Orientation ◽  
Model Fit ◽  
Regression Analyses ◽  
One Dimensional ◽  
Confirmatory Factor ◽  
The One ◽  
Better Than

The relation between authoritarianism and social dominance orientation was analyzed, with authoritarianism measured using a three-dimensional scale. The implicit multidimensional structure (authoritarian submission, conventionalism, authoritarian aggression) of Altemeyer’s (1981, 1988) conceptualization of authoritarianism is inconsistent with its one-dimensional methodological operationalization. The dimensionality of authoritarianism was investigated using confirmatory factor analysis in a sample of 713 university students. As hypothesized, the three-factor model fit the data significantly better than the one-factor model. Regression analyses revealed that only authoritarian aggression was related to social dominance orientation. That is, only intolerance of deviance was related to high social dominance, whereas submissiveness was not.

Using Connectionist Modules for Decision Support

1990 ◽  
Vol 29 (03) ◽  
pp. 167-181 ◽  
Author(s):  
G. Hripcsak
Keyword(s):  
Decision Support ◽  
Standard Deviation ◽  
Confidence Interval ◽  
Posterior Probability ◽  
Back Propagation ◽  
Connectionist Model ◽  
Test Set ◽  
The Third ◽  
Independent Test ◽  
Better Than

AbstractA connectionist model for decision support was constructed out of several back-propagation modules. Manifestations serve as input to the model; they may be real-valued, and the confidence in their measurement may be specified. The model produces as its output the posterior probability of disease. The model was trained on 1,000 cases taken from a simulated underlying population with three conditionally independent manifestations. The first manifestation had a linear relationship between value and posterior probability of disease, the second had a stepped relationship, and the third was normally distributed. An independent test set of 30,000 cases showed that the model was better able to estimate the posterior probability of disease (the standard deviation of residuals was 0.046, with a 95% confidence interval of 0.046-0.047) than a model constructed using logistic regression (with a standard deviation of residuals of 0.062, with a 95% confidence interval of 0.062-0.063). The model fitted the normal and stepped manifestations better than the linear one. It accommodated intermediate levels of confidence well.

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