Maritime accident prevention strategy formulation from a human factor perspective using Bayesian Networks and TOPSIS
نویسندگان
چکیده
منابع مشابه
Robust Opponent Modeling in Real-Time Strategy Games using Bayesian Networks
Opponent modeling is a key challenge in Real-Time Strategy (RTS) games as the environment is adversarial in these games, and the player cannot predict the future actions of her opponent. Additionally, the environment is partially observable due to the fog of war. In this paper, we propose an opponent model which is robust to the observation noise existing due to the fog of war. In order to cope...
متن کاملAn Extended Maritime Domain Awareness Probabilistic Ontology Derived from Human-aided Multi-Entity Bayesian Networks Learning
Ontologies have been commonly associated with representing a domain using deterministic information. Probabilistic Ontologies extend this capability by incorporating formal probabilistic semantics. PR-OWL is a language that extends OWL with semantics based on Multi-Entity Bayesian Networks (MEBN), a Bayesian probabilistic logic. Developing probabilistic ontologies can be greatly facilitated by ...
متن کاملa paradigm shift away from method-wise teaching to strategy-wise teaching: an investigation of reconstructive strategy versus communicative strategy
چکیده: هدف اصلی این مطالعه ی توصیفی تحقیقی در حقیقت تلاشی پساروش-گرا به منظور رسیدن به نتیجه ای منطقی در انتخاب مناسبترین راهکار آموزشی بر گرفته از چارچوب راهبردی مطرح شده توسط والدمر مارتن بوده که به بهترین شکل سازگار و مناسب با سامانه ی آموزشی ایران باشد. از این رو، دو راهکار آموزشی، راهکار ارتباطی و راهکار بازساختی، برای تحقیق و بررسی انتخاب شدند. صریحاً اینکه، در راستای هدف اصلی این پژوهش، ر...
15 صفحه اولA novel strategy for microarray quality control using Bayesian networks
MOTIVATION High-throughput microarray technologies enable measurements of the expression levels of thousands of genes in parallel. However, microarray printing, hybridization and washing may create substantial variability in the quality of the data. As erroneous measurements may have a drastic impact on the results by disturbing the normalization schemes and by introducing expression patterns t...
متن کاملA Weighted Majority Vote Strategy Using Bayesian Networks
Most of the methods for combining classifiers rely on the assumption that the experts to be combined make uncorrelated errors. Unfortunately, this theoretical assumption is not easy to satisfy in practical cases, thus effecting the performance obtainable by applying any combination strategy. We tried to solve this problem by explicitly modeling the dependencies among the experts through the est...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Ocean Engineering
سال: 2020
ISSN: 0029-8018
DOI: 10.1016/j.oceaneng.2020.107544