scholarly journals Prediction of Public Trust in Politicians Using a Multimodal Fusion Approach

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1259
Author(s):  
Muhammad Shehram Shah Syed ◽  
Elena Pirogova ◽  
Margaret Lech
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Classification Accuracy ◽  
Public Trust ◽  
Multimodal Fusion ◽  
Multimodal Approach ◽  
Ranking System ◽  
Trust Prediction ◽  
The Individual ◽  
Fusion Approach

This paper explores the automatic prediction of public trust in politicians through the use of speech, text, and visual modalities. It evaluates the effectiveness of each modality individually, and it investigates fusion approaches for integrating information from each modality for prediction using a multimodal setting. A database was created consisting of speech recordings, twitter messages, and images representing fifteen American politicians, and labeling was carried out per a publicly available ranking system. The data were distributed into three trust categories, i.e., the low-trust category, mid-trust category, and high-trust category. First, unimodal prediction using each of the three modalities individually was performed using the database; then, using the outputs of the unimodal predictions, a multimodal prediction was later performed. Unimodal prediction was performed by training three independent logistic regression (LR) classifiers, one each for speech, text, and images. The prediction vectors from the individual modalities were then concatenated before being used to train a multimodal decision-making LR classifier. We report that the best performing modality was speech, which achieved a classification accuracy of 92.81%, followed by the images, achieving an accuracy of 77.96%, whereas the best performing model for text-modality achieved a 72.26% accuracy. With the multimodal approach, the highest classification accuracy of 97.53% was obtained when all three modalities were used for trust prediction. Meanwhile, in a bimodal setup, the best performing combination was that combining the speech and image visual modalities by achieving an accuracy of 95.07%, followed by the speech and text combination, showing an accuracy of 94.40%, whereas the text and images visual modal combination resulted in an accuracy of 83.20%.

DECISION-MAKING ON INVESTMENT OF IT-INNOVATION BASED ON FUZZY EXPERT INFORMATION

2018 ◽  
pp. 103-111
Author(s):  
Olga Olegovna Eremenko ◽  
Lyubov Borisovna Aminul ◽  
Elena Vitalievna Chertina
Keyword(s):  
Decision Making ◽  
Individual Characteristics ◽  
Production Model ◽  
Investment Management ◽  
It Projects ◽  
Product Model ◽  
Project Cost ◽  
Reasoning System ◽  
Managerial Decisions ◽  
The Individual

The subject of the research is the process of making managerial decisions for innovative IT projects investing. The paper focuses on the new approach to decision making on investing innovative IT projects using expert survey in a fuzzy reasoning system. As input information, expert estimates of projects have been aggregated into six indicators having a linguistic description of the individual characteristics of the project type "high", "medium", and "low". The task of decision making investing has been formalized and the term-set of the output variable Des has been defined: to invest 50-75% of the project cost; to invest 20-50% of the project cost; to invest 10-20% of the project cost; to send the project for revision; to turn down investing project. The fuzzy product model of making investment management decisions has been developed; it adequately describes the process of investment management. The expediency of using constructed production model on a practical example is shown.

The transformation of the decision-making process on the part of economic agents influenced by social constraints

2020 ◽  
Vol 16 (7) ◽  
pp. 1202-1222
Author(s):  
M.V. Grechko ◽  
L.A. Kobina ◽  
S.A. Goncharenko
Keyword(s):  
Decision Making ◽  
Consumer Choice ◽  
Social Constraints ◽  
Decision Making Process ◽  
Economic Knowledge ◽  
Economic Agents ◽  
The Individual ◽  
Contextual Environment ◽  
Economic Constraints ◽  
External Signals

Subject. The article focuses on the decision-making mechanism used by economic agents given the existing social constraints. Objectives. We devise applied toolkit to study how socio-economic constraints transform the decision-making mechanism used by economic agents. Methods. The study involves means of the expert survey, the method that streamlines economic knowledge. Results. Social constraints are illustrated to influence the decision-making mechanism used by economic agents, assuming that the individual mind relies on specific mechanisms to make judgments and decisions. Generally, the mechanisms are very useful, however they may generate serious errors during the decision-making process. Given the social constraints, economic agents were found to follow four mental models to make their decisions in case of the full or partial uncertainty, i.e. the representative relevance, accessibility, relations, heuristics (modeling). Conclusions and Relevance. The scientific ideas herein show that the inner architecture of a choice an individual makes determines his or her decisions. The decisions often depend on the contextual environment that gives external signals perceived by the individual while evaluating alternative ways. The findings can possibly be used as a mechanism to manage the consumer choice.

The impact of SPY angiography on intraoperative decision making and outcomes for post-mastectomy reconstruction

2019 ◽  
pp. 1-5
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Skin Necrosis ◽  
Regression Models ◽  
Multivariable Analysis ◽  
P Value ◽  
Flap Necrosis ◽  
Single Institution ◽  
Logistic Regression Models ◽  
The Impact

Objective: While the use of intraoperative laser angiography (SPY) is increasing in mastectomy patients, its impact in the operating room to change the type of reconstruction performed has not been well described. The purpose of this study is to investigate whether SPY angiography influences post-mastectomy reconstruction decisions and outcomes. Methods and materials: A retrospective analysis of mastectomy patients with reconstruction at a single institution was performed from 2015-2017.All patients underwent intraoperative SPY after mastectomy but prior to reconstruction. SPY results were defined as ‘good’, ‘questionable’, ‘bad’, or ‘had skin excised’. Complications within 60 days of surgery were compared between those whose SPY results did not change the type of reconstruction done versus those who did. Preoperative and intraoperative variables were entered into multivariable logistic regression models if significant at the univariate level. A p-value <0.05 was considered significant. Results: 267 mastectomies were identified, 42 underwent a change in the type of planned reconstruction due to intraoperative SPY results. Of the 42 breasts that underwent a change in reconstruction, 6 had a ‘good’ SPY result, 10 ‘questionable’, 25 ‘bad’, and 2 ‘had areas excised’ (p<0.01). After multivariable analysis, predictors of skin necrosis included patients with ‘questionable’ SPY results (p<0.01, OR: 8.1, 95%CI: 2.06 – 32.2) and smokers (p<0.01, OR:5.7, 95%CI: 1.5 – 21.2). Predictors of any complication included a change in reconstruction (p<0.05, OR:4.5, 95%CI: 1.4-14.9) and ‘questionable’ SPY result (p<0.01, OR: 4.4, 95%CI: 1.6-14.9). Conclusion: SPY angiography results strongly influence intraoperative surgical decisions regarding the type of reconstruction performed. Patients most at risk for flap necrosis and complication post-mastectomy are those with questionable SPY results.

The Relation of Language Context and Religiosity to Trilemma Judgments

2021 ◽  
pp. 002202212110339
Author(s):  
Elyas Barabadi ◽  
Mohsen Rahmani Tabar ◽  
James R. Booth
Keyword(s):  
Decision Making ◽  
Second Language ◽  
Native Speakers ◽  
Native Language ◽  
Standard Measure ◽  
Moral Norms ◽  
The Individual ◽  
Language Context

Utilitarian judgments maximize benefit for the most people, whereas deontological judgments are based on moral norms. Previous work shows that people tend to make more utilitarian judgments in their second compared to their native language, whereas higher religiosity is associated with more deontological judgments. However, it is not known whether the effect of language context is moderated by the religiosity of the individual. We hypothesized that more religious participants from all three languages would favor deontological choices irrespective of language context. In order to investigate this, we studied native speakers of Persian who either had Arabic or English as their second language, and all participants were given a standard measure of religiosity. Decision making was measured by the classic trolley trilemma in which a participant could “push” a person to save the lives of more people which is considered a utilitarian judgment. Alternatively, they could “switch” a track to save the lives of more people (“indirect”), or do nothing (“inaction”), both of which are considered deontological. Consistent with the literature showing more utilitarian judgments in the second language, English participants preferred the push option, whereas Persian participants favored the inaction option. L2 Arabic participants more often chose the indirect option. However, participants’ religiosity moderated this effect of language context. Although L2 Arabic participants’ choices were not influenced by religiosity, higher religiosity in the L2 English and L1 Persian groups was associated with more deontological choices.

scholarly journals A Novel Multi-Criteria Group Decision-Making Approach Based on Bonferroni and Heronian Mean Operators under Hesitant 2-Tuple Linguistic Environment

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1489
Author(s):  
Shahzad Faizi ◽  
Wojciech Sałabun ◽  
Nisbha Shaheen ◽  
Atiq ur Rehman ◽  
Jarosław Wątróbski
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Weighted Average ◽  
Aggregation Operators ◽  
Bonferroni Mean ◽  
Operational Laws ◽  
Geometric Bonferroni Mean ◽  
The Individual ◽  
Heronian Mean

Ambiguous and uncertain facts can be handled using a hesitant 2-tuple linguistic set (H2TLS), an important expansion of the 2-tuple linguistic set. The vagueness and uncertainty of data can be grabbed by using aggregation operators. Therefore, aggregation operators play an important role in computational processes to merge the information provided by decision makers (DMs). Furthermore, the aggregation operator is a potential mechanism for merging multisource data which is synonymous with cooperative preference. The aggregation operators need to be studied and analyzed from various perspectives to represent complex choice situations more readily and capture the diverse experiences of DMs. In this manuscript, we propose some valuable operational laws for H2TLS. These new operational laws work through the individual aggregation of linguistic words and the collection of translation parameters. We introduced a hesitant 2-tuple linguistic weighted average (H2TLWA) operator to solve multi-criteria group decision-making (MCGDM) problems. We also define hesitant 2-tuple linguistic Bonferroni mean (H2TLBM) operator, hesitant 2-tuple linguistic geometric Bonferroni mean (H2TLGBM) operator, hesitant 2-tuple linguistic Heronian mean (H2TLHM) operator, and a hesitant 2-tuple linguistic geometric Heronian mean (H2TLGHM) operator based on the novel operational laws proposed in this paper. We define the aggregation operators for addition, subtraction, multiplication, division, scalar multiplication, power and complement with their respective properties. An application example and comparison analysis were examined to show the usefulness and practicality of the work.

scholarly journals Assessing the storage potential of Australian rainforest seeds: a decision-making key to aid rapid conservation

2021 ◽  
Author(s):  
K. D. Sommerville ◽  
G. Errington ◽  
Z-J. Newby ◽  
G. S. Liyanage ◽  
C. A. Offord
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Dry Weight ◽  
Germination Percentage ◽  
Fleshy Fruit ◽  
Seed Moisture Content ◽  
Fresh Seed ◽  
Desiccation Sensitivity ◽  
Seed Moisture ◽  
Seed Characteristics

AbstractSeed banking of rainforest species is hindered by lack of knowledge as to which species are tolerant of desiccation and freezing. We assessed 313 Australian rainforest species for seed banking suitability by comparing the germination percentage of fresh seeds to seeds dried at 15% RH and seeds stored at −20 °C after drying. We then compared desiccation responses to environmental, habit, fruit and seed characteristics to identify the most useful predictors of desiccation sensitivity. Of 162 species with ≥ 50% initial germination, 22% were sensitive to desiccation, 64% were tolerant and 10% were partially tolerant; the responses of 4% were uncertain. Of 107 desiccation tolerant species tested for response to freezing, 24% were freezing sensitive or short-lived in storage at −20 °C. Median values for fresh seed moisture content (SMC), oven dry weight (DW) and the likelihood of desiccation sensitivity (PD-S) were significantly greater for desiccation sensitive than desiccation tolerant seeds. Ninety-four to 97% of seeds with SMC < 29%, DW < 20 mg or PD-S < 0.01 were desiccation tolerant. Ordinal logistic regression of desiccation response against environmental, habit, fruit and seed characteristics indicated that the likelihood of desiccation sensitivity was significantly increased by a tree habit, fleshy fruit, increasing fresh SMC and increasing PD-S. The responses observed in this study were combined with earlier studies to develop a simple decision key to aid prediction of desiccation responses in untested rainforest species.

scholarly journals HESR innovation in analysis that supports decision making and action

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
B Barr
Keyword(s):  
Decision Making ◽  
Health Equity ◽  
Social Protection ◽  
Well Being ◽  
Status Report ◽  
Policy Performance ◽  
European Health ◽  
The Individual ◽  
Health And Well Being ◽  
Inform Decision Making

Abstract The European Health Equity Status Report makes innovative use of microdata, at the level of the individual, to decompose the relative contributions of five essential underlying conditions to inequities in health and well-being. These essential conditions comprise: (1) Health services (2) Income security and social protection (3) Living conditions (4) Social and human capital (5) Employment and working conditions. Combining microdata across over twenty sources, the work of HESRi has also produced disaggregated indicators in health, well-being, and each of the five essential conditions. In conjunction with indicators of policy performance and investment, the HESRi Health Equity Dataset of over 100 indicators is the first of its kind, as a resource for monitoring and analysing inequities across the essential conditions and policies to inform decision making and action to reduce gaps in health and well-being.

scholarly journals Age, Frailty, Resuscitation and Intensive Care: With Reference to COVID-19

Geriatrics ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 36
Author(s):  
David G Smithard ◽  
Nadir Abdelhameed ◽  
Thwe Han ◽  
Angelo Pieris
Keyword(s):  
Intensive Care Unit ◽  
Decision Making ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Cardiopulmonary Resuscitation ◽  
Distributive Justice ◽  
Older Age ◽  
Distribution Of Resources ◽  
Utilitarian Approach ◽  
The Individual

Discussion regarding cardiopulmonary resuscitation and admission to an intensive care unit is frequently fraught in the context of older age. It is complicated by the fact that the presence of multiple comorbidities and frailty adversely impact on prognosis. Cardiopulmonary resuscitation and mechanical ventilation are not appropriate for all. Who decides and how? This paper discusses the issues, biases, and potential harms involved in decision-making. The basis of decision making requires fairness in the distribution of resources/healthcare (distributive justice), yet much of the printed guidance has taken a utilitarian approach (getting the most from the resource provided). The challenge is to provide a balance between justice for the individual and population justice.

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