METHODOLOGY OF AUTOMATED SELECTION OF FOOTWEAR IN THE TASKS OF SUPPORTING DECISION MAKING IN ORTHOPEDIC PROVIDING OF PATIENTS

Nowadays, customization is becoming an increasingly applicable approach for the individualization of goods made in mass production. Another trend is the technology of virtual, or contactless, shoe fitting, aimed at selecting goods in accordance with the individual anthropometric parameters of customers' feet. The article is considered to the presentation of the results of scientific developments in the field of optimization of orthopedic providing of patients using customization approaches and conceptual solutions of contactless shoe fitting technologies. As part of the study, an algorithm of shoe selection and a method for assessment of matching the internal shape of the shoe to the patient’s feet measurements have been developed. The possibilities and conditions for the application of the results obtained in the tasks of supporting orthopedic specialists in the orthopedic providing of patients on the basis of data mining in the implementation of the automated remote selection of shoes and ordering for custom shoes are presented. The reported study was funded by RFBR, project number 19-37-90152.

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Evidence-based Assessment

The Oxford Handbook of Clinical Psychology ◽

10.1093/oxfordhb/9780195366884.013.0005 ◽

2010 ◽

pp. 76-98

Author(s):

John Hunsley ◽

Eric J. Mash

Keyword(s):

Decision Making ◽

Clinical Assessment ◽

Assessment Process ◽

Evidence Based ◽

The Past ◽

Specific Assessment ◽

The Many ◽

Selection Of ◽

Made In

Evidence-based assessment relies on research and theory to inform the selection of constructs to be assessed for a specific assessment purpose, the methods and measures to be used in the assessment, and the manner in which the assessment process unfolds. An evidence-based approach to clinical assessment necessitates the recognition that, even when evidence-based instruments are used, the assessment process is a decision-making task in which hypotheses must be iteratively formulated and tested. In this chapter, we review (a) the progress that has been made in developing an evidence-based approach to clinical assessment in the past decade and (b) the many challenges that lie ahead if clinical assessment is to be truly evidence-based.

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The Neurobiology of Aggression

Neurobiology of Mental Illness ◽

10.1093/med/9780199934959.003.0085 ◽

2013 ◽

pp. 1103-1111

Author(s):

R. James ◽

R. Blair

Keyword(s):

Decision Making ◽

Motor Behavior ◽

Neural Systems ◽

Emotional Modulation ◽

Good Decision ◽

Norm Violations ◽

Instrumental Aggression ◽

Increased Risk ◽

The Individual ◽

Selection Of

This chapter considers the neurobiology of aggression both the neural systems mediating this behavior as well as how these systems can become perturbed such that the aggression is maladaptive to the individual. A distinction will be drawn between planned, goal directed instrumental aggression and threat/ frustration based reactive aggression. Instrumental aggression implicates the neural systems involved in instrumental motor behavior generally as well as emotional learning and decision making systems that allow the selection of one action over another. Conditions decreasing the responsiveness of neural systems allowing good decision making (amygdala, striatum, ventromedial prefrontal cortex) are associated with an increased risk for maladaptive instrumental aggression. Reactive aggression implicates sub cortical systems involved in the basic response to threat as well as cortical systems involved in emotional modulation and the response to norm violations.

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Application of Consumer Clustering Mining Data Mining in Household with Fuzzy Multi Criteria Decision Making (FMCDM)

International Journal of Engineering and Emerging Technology ◽

10.24843/ijeet.2017.v02.i01.p07 ◽

2017 ◽

Vol 2 (1) ◽

pp. 31

Author(s):

Muhammad Anshari ◽

I Putu Suryadharma ◽

Nyoman Putra Sastra

Keyword(s):

Data Mining ◽

Decision Making ◽

Multi Criteria Decision Making ◽

Environmental Criteria ◽

Selection Of ◽

Help System

This study aims to classify consumers in the selection of houses using Fuzzy Multi Criteria Decision Making (FMCDM) method based on data mining. Alternative houses provided there are four of the minimalist houses, contemporary modern homes, classical houses, and traditional ethnic houses. To generate these choices, there are five criteria: price criteria, home/type criteria, interior criteria, exterior criteria, and home environmental criteria. The results of this study can help system users in determining the choice of home type based on the user's tastes of the criteria available and also can help the investors and contractors in building houses, villas, hotels, and housing of the criteria.

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Assessing Affective and Deliberative Decision-Making: Adaptation of the Columbia Card Task to Brazilian Portuguese

The Spanish Journal of Psychology ◽

10.1017/sjp.2015.81 ◽

2015 ◽

Vol 18 ◽

Cited By ~ 4

Author(s):

Bruno Kluwe-Schiavon ◽

Breno Sanvicente-Vieira ◽

Thiago W. Viola ◽

Eduardo Veiga ◽

Vanessa Bortolotto ◽

...

Keyword(s):

Decision Making ◽

Risk Taking ◽

Electrodermal Activity ◽

Brazilian Portuguese ◽

Index Analysis ◽

Study Results ◽

Transcultural Adaptation ◽

The Individual ◽

Deliberative Processes ◽

Made In

AbstractThe ability to predict reward and punishment is essential for decision-making and the ability to learn about an ever-changing environment. Therefore, efforts have been made in understanding the mechanisms underlying decision-making, especially regarding how affective and deliberative processes interact with risk behavior. Objective: To adapt to Brazilian Portuguese the Columbia Card Task (CCT) and investigate affective and deliberative processes involved in decision-making. Methods: This study had two main phases: (1) a transcultural adaptation and (2) a pilot study. Results: The feedback manipulation among the three conditions of CCT had an effect on the risk-taking level (p < .005, ES = .201). In addition, the feedback manipulation among the three conditions of CCT had an effect on the information use at both the individual and group levels. Further, a linear regression suggested that the use of information, indicated by the advantageous level of the scenarios, predict the number of cards chosen R2 = .029, p < .001, accounting for 17% of the variance. Conclusions: The Brazilian CCT performs well and is a versatile method for the assessment of affective and deliberative decision-making under risk according to different feedback manipulation scenarios. This study goes further, comparing electrodermal activity during hot and warm conditions and addressing an advantageous level index analysis to asses deliberative processing.

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Artificial Intelligence implemented to recognize patterns of sustainable areas by evaluating the database of socioenvironmental safety restrictions

Research Society and Development ◽

10.33448/rsd-v10i10.18841 ◽

2021 ◽

Vol 10 (10) ◽

pp. e212101018841

Author(s):

Julio Leite Azancort Neto ◽

Arleson Lui Silva Gonçalves ◽

Brennus Caio Carvalho da Cruz ◽

Larissa Luz Gomes ◽

Denis Carlos Lima Costa

Keyword(s):

Artificial Intelligence ◽

Decision Making ◽

Economic Effects ◽

Individual Values ◽

Modeling Process ◽

New Methodologies ◽

The Individual ◽

Optimal Area ◽

Decision Making Rule ◽

Selection Of

The several papers recently published, applied to sustainable development, has been considering new methodologies and techniques in identifying the main criteria, in numeric format, that are useful in formulating possible solutions to the solid waste problem. This paper presents the Mathematical and Computational Modeling Process (PM2C), applied in the determination of control variables related to selection of areas destined to the construction of landfills, in order to benefit from new analyzes and values obtained by methods such as AHP (Analytical Hierarchy Process) and GIS (Geographic Information Systems). The main objective of this paper is the use of Artificial Intelligence (AI), through a Decision Tree strategy, as a selective method and optimal solutions in choosing the best area dedicated to the construction of landfills, with the creation and analysis of new values applied to scenarios defined in the paper of Andrade e Barbosa (2015). The results, expressed in analytical and graphical forms, show the individual values for each criterion and new scenarios involved in the phenomena. This paper highlights the importance of incorporating new conditions and criteria to propose a new decision-making rule, simultaneously, associating qualitative and quantitative characteristics, related to social and economic effects, applied to the environment management system. Based on these principles, it was possible to simulate new scenarios that demonstrate, with very high precision, the best values of useful criteria for decision-making in the selection of the optimal area for implementation of a landfill.

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Penerapan Metode Promethee Dalam Sistem Pendukung Keputusan Penetapan Penerima Kartu Indonesia Sehat (KIS)

JURNAL MEDIA INFORMATIKA BUDIDARMA ◽

10.30865/mib.v5i2.2948 ◽

2021 ◽

Vol 5 (2) ◽

pp. 739

Author(s):

Reva Octaviani Siregar ◽

Deci Irmayani ◽

Masrizal Masrizal

Keyword(s):

Decision Making ◽

Decision Support ◽

Human Life ◽

Well Being ◽

Preference Ranking ◽

Problem Analysis ◽

Healthy Environment ◽

Promethee Method ◽

The Individual ◽

Selection Of

Health is a state of well-being of body, soul and society that enables everyone to live productively socially and economically. Therefore, health is the most important element in human life. Health is closely related to economic conditions. factors that affect human health such as healthy food and drinks, a healthy environment and healthy living habits will be fulfilled. Conversely, if a bad economy will make it difficult for individual people to meet some of these factors, if these conditions are ignored, the individual community will find it difficult to improve their health. The problem that occurred at Galang Health Center was the unsatisfactory selection of KIS (Kartu Indonesia Sehat) participants. the selection of KIS (Kartu Indonesia Sehat) participants requires a decision support system (DSS) to speed up and make it easier to make decisions. Decision support systems are used to assist decision making in an organization to facilitate decision making. Where no one knows exactly how decisions should be made. The Promethee method (Preference Ranking Organizational Method for Enrichment Evaluation) is a method used to determine priority (order) in multi-criteria analysis. With the Promethee method, the problem of choosing KIS (Kartu Indonesia Sehat) participants is feasible to use in this study, the stages of research carried out in this study are starting from data collection, problem analysis, method analysis, design and testing of applications to be built, the purpose of this research is to solve the problems of the participants. KIS (Kartu Indonesia Sehat), which have been unsatisfied in terms of the decision of KIS (Kartu Indonesia Sehat) recipients. The results showed that of the three KIS (Kartu Indonesia Sehat) participants who were tested, there were two participants who deserved KIS (Kartu Indonesia Sehat) based on the results of the assessment of the five criteria used so that the calculation results using the Promethee method showed that the net flow from each of the alternatef is -1 for alternative 1 and 0.2 for alternative 2 and 0.8 for the third alternative.

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Data Mining for Optimal Combination Demand Forecasts

Managing Data Mining Technologies in Organizations ◽

10.4018/978-1-59140-057-8.ch006 ◽

2011 ◽

pp. 106-122

Author(s):

Chi Kin Chan ◽

Heung Wong ◽

Wan Kai Pang ◽

Marvin D. Troutt

Keyword(s):

Data Mining ◽

Inventory Management ◽

Moving Average ◽

Weighting Method ◽

Forecasting Methods ◽

Combining Forecasts ◽

Simple Exponential Smoothing ◽

The Individual ◽

Selection Of

This chapter is a case study in combining forecasts for inventory management in which the need for data mining in combination forecasts is necessary. The need comes from selection of sample items on which forecasting strategy can be made for all items, selection of constituent forecasts to be combined and selection of weighting method for the combination. A leading bank in Hong Kong consumes more than 300 kinds of printed forms for its daily operations. A major problem of its inventory control system for such forms management is to forecast their monthly demand. The bank currently uses simple forecasting methods such as simple moving average and simple exponential smoothing for its inventory demands. In this research, the individual forecasts come from well-established time series models. The weights for combination are estimated with quadratic programming. The combined forecast is found to perform better than any of the individual forecasts. Some insights in data mining for this context are obtained.

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Modified Leucotomy Assessed by Forearm Blood Flow and Other Measurements

The British Journal of Psychiatry ◽

10.1192/bjp.112.490.871 ◽

1966 ◽

Vol 112 (490) ◽

pp. 871-881 ◽

Cited By ~ 23

Author(s):

D. H. W. Kelly ◽

C. J. S. Walter ◽

William Sargant

Keyword(s):

Objective Assessment ◽

Operative Techniques ◽

Diagnostic Categories ◽

Personality Changes ◽

Before And After ◽

Psychological Medicine ◽

Diagnostic Label ◽

The Individual ◽

Selection Of ◽

Made In

The value of modified leucotomy in the treatment of psychiatric disorders is undergoing constant reappraisal. Ever since 1948 efforts have been made in the Department of Psychological Medicine of St. Thomas's Hospital and at Belmont Hospital to modify operative techniques and to learn more about the proper and discriminative selection of suitable patients within very varied diagnostic categories. A leading article in the British Medical Journal has called for renewed efforts along such lines. (Editorial, 1965). To enable various surgical procedures to be assessed and their merits and disadvantages compared more accurately, better objective methods of evaluating the effects of the operation are certainly required. Although several studies have been directed towards the measurement of intellectual function before and after operation (Mettler, 1949; Mettler and Landis, 1952; Tow, 1955) much less attention has been directed towards the objective assessment of personality changes and measurement of the reduction of key symptoms such as anxiety. Sykes and Tredgold (1964) emphasized what has been repeatedly stressed from this Department (Sargant, 1946, 1962; Sargant and Slater, 1944, 1948, 1954, 1963), that a decision to operate must take careful note of the individual symptoms, especially the degree of tension present. Falconer and Schurr (1959) consider that “the indication for operation should be, not the diagnostic label, but the tension and anxieties which the illness has produced”.

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(2019) Optimal Threshold for Selection of Candidates in Multi-Winner Elections

10.31124/advance.8187755 ◽

2019 ◽

Author(s):

John Lawrence

Keyword(s):

Decision Making ◽

Expected Utility ◽

Optimal Threshold ◽

The Political ◽

Optimal Selection ◽

Approval Voting ◽

Economic Decision Making ◽

Winning Set ◽

The Individual ◽

Selection Of

We devise a method for political and economic decision making that's applicable to the optimal selection of multiple alternatives from a larger set of alternatives. This method could be used, for example, in the selection of a committee or a parliament. The method combines utilitarian voting with approval voting and sets an optimal threshold above which an individual voter's sincere ratings are turned into approval style votes. Those candidates above threshold are chosen in such a way as to maximize the individual's expected utility for the winning set. We generalize range/approval hybrid voting which deals with a single member outcome to the case of multiple outcomes. The political case easily generalizes to the economic case in which a commodity bundle is to be chosen by each individual from an available set which is first chosen from a larger set by the amalgamation of the individual choosers' inputs. As the set made available gets larger, the individual voter or chooser is more likely to gain greater utility or satisfaction because more of their above threshold candidates will be included in the winning set.

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