scholarly journals Prior and Posterior Linear Pooling for Combining Expert Opinions: Uses and Impact on Bayesian Networks—The Case of the Wayfinding Model

Entropy ◽  
2018 ◽  
Vol 20 (3) ◽  
pp. 209 ◽  
Author(s):  
Charisse Farr ◽  
Fabrizio Ruggeri ◽  
Kerrie Mengersen
2020 ◽  
Vol 10 (14) ◽  
pp. 4834
Author(s):  
Richard Hughes

Background: Biomechanists are often asked to provide expert opinions in legal proceedings, especially personal injury cases. This often involves using deterministic analysis methods, although the expert is expected to opine using a civil standard of “more likely than not” that is inherently probabilistic. Methods: A method is proposed for converting a class of deterministic biomechanical models into hybrid Bayesian networks that produce a probability well suited for addressing the civil standard of proof. The method was developed for spinal injury during lifting. Its generalizability was assessed by applying it to slip and fall events based on the coefficients of friction at the shoe–floor interface. Results: The proposed method is shown to be generalizable beyond lifting by applying it to a slip and fall event. Both the lifting and slip and fall models showed that incorporating evidence of injury could change the probabilities of critical quantities exceeding a threshold from “less likely than not” to “more likely than not.” Conclusions: The present work shows that it is possible to develop Bayesian networks for legal use based on laws of engineering mechanics and probabilistic descriptions of measurement error and human variability.


1990 ◽  
Vol 54 (10) ◽  
pp. 612-618 ◽  
Author(s):  
CA Palmer ◽  
J Dwyer ◽  
RE Clark
Keyword(s):  

2018 ◽  
Vol 1 (2) ◽  
pp. 212-232
Author(s):  
Sam Abede Pareno ◽  
M Rif’an Arif

ABSTRACT Religious traditions in Indonesia are known to be very moderate and tolerant abroad is a reflection of the character of a great noble nation. Between religion, tradition and culture are able to perform compounds so as to create a genuine religious harmony. Because of this reality Indonesia is regarded as the largest Muslim majority country in the world that almost without conflict, in the midst of reality Muslim countries in the Middle East that impressed the dispute into the daily menu. However, the reality of Indonesia as a moderate nation is injured by the act of a group that is fond of terrorism and radicalism by riding Islamic religious teachings. Thus, this reversed religion is assumed as a source of cruelty.   It is through that phenomenon researcher, feel the need to examine the strategy of disseminating moderate Islam by Nahdlatul Ulama. The selection of this Islamic organization according to the authors due to its success in moderating Islam in Indonesia. In this study, the study using a qualitative approach or method as well as adopting the theory of Van Dijk discourse analysis as a scalpel to peel the discourse of moderate Islam published by PWNU East Java through the website. As for this research, the findings are important, among others are: 1) moderate Islamic discourse campaigned by Nahdlatul Ulama East Java is categorized into three segments, namely social, religious and nationality. 2) the text structure that builds moderate Islamic discourse NU East Java in Van Dijk perspective constructed in three domains, namely text, social cognition and social context. 3) the principles of Public Relationship implemented by NU through cyber (online media), among others; News publications and expert opinions, production of image and video-based information, and updating official NU information to the public about their attitudes and views on the phenomena that occur by promoting the values of Islamic moderatism. Key Word : Islamic Moderatism, Nahdlatul Ulama, Cyber Public Relationship


Author(s):  
S.U. Lyapina ◽  
◽  
V.N. Tarasova ◽  
V.B. Ruchkin ◽  
E.O. Koscheeva ◽  
...  

The quality issues of new services directly affect the competitiveness of service organizations. However, the introduction of new services to the market is often limited only to the construction of the logistics of business processes, and the design applies only to technological equipment and infrastructure, the quality of which ultimately does not always ensure the quality of the services provided. At the same time, quality management affects mainly operational aspects, that is, it covers the later stages of the service life cycle. In resource-intensive service industries (for example, transport, communications, etc.), the high cost of equipment and infrastructure reduces the possibility of changes in service delivery technologies to improve their quality, which leads to inefficiency and market failures due to the fact that the new service does not match the real needs of customers. Despite this, forecasting and planning the quality of a service at the stage «making a decision» to launch a new service on the market remains largely without sufficient attention. The authors prove the need to design the quality of services at the stage «making a decision» to bring new services to the market. The purpose of the article is to describe the approach developed by the authors to assessing the quality of projected services at the early stages of their life cycle, which makes it possible to integrate qualitative and quantitative indicators of the future service and take into account the forecast requests of customers. The proposed approach has two features: (1) forecasting customer requirements for the quality of services is based on the results of machine learning based on data on existing and potential customers, as well as on the basis of the accumulated knowledge base of customer experience and expert opinions; (2) multi-criteria optimization is used, while some of the optimized parameters are discrete and high-quality. In conclusion, the authors demonstrated the advantages of the developed model on the examples of transport and logistics business in the field of passenger and freight transportation in Russia.


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