Interval-valued belief entropies for Dempster–Shafer structures
Sign Up to like & getrecommendations! Published in 2021 at "Soft Computing"
DOI: 10.1007/s00500-021-05901-3
Abstract: In practical application problems, the uncertainty of an unknown object is often very difficult to accurately determine, so Yager proposed the interval-valued entropies for Dempster–Shafer structures, which is based on Dempster–Shafer structures and classic Shannon… read more here.
Keywords: dempster shafer; shafer structures; entropies dempster; interval valued ... See more keywords
Workload Mining in Cloud Computing using Extended Cloud Dempster–Shafer Theory (ECDST)
Sign Up to like & getrecommendations! Published in 2020 at "Wireless Personal Communications"
DOI: 10.1007/s11277-020-07368-1
Abstract: Cloud computing is a growing technology where the resources are provided as a service on demand basis. The services offered are Infrastructure as a Service, Platform as a Service, Software as a Service, Network as… read more here.
Keywords: dempster shafer; extended cloud; cloud dempster; cloud computing ... See more keywords
Ranking potentially favorable mineralization zones using fuzzy VIKOR vs. Dempster-Shafer-fuzzy AHP methods, a case study: southeast of the Sarcheshmeh copper mine, Kerman, Iran
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-020-06145-5
Abstract: In this study, a different ranking method has been proposed to prioritize the mineral potential areas and select the best potential area to decrease potential risks of mineral exploration. In this regard, at first, the… read more here.
Keywords: shafer fuzzy; dempster shafer; copper; fuzzy ahp ... See more keywords
Dempster–Shafer theory for classification and hybridised models of multi-criteria decision analysis for prioritisation: a telemedicine framework for patients with heart diseases
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03325-3
Abstract: Hybridised classification and prioritisation of patients with chronic heart diseases (CHDs) can save lives by categorising them on the basis of disease severity and determining priority patients. Such hybridisation is challenging and thus has not… read more here.
Keywords: classification; dempster shafer; framework; prioritisation ... See more keywords
A GIS-based comparative study of Dempster-Shafer, logistic regression and artificial neural network models for landslide susceptibility mapping
Sign Up to like & getrecommendations! Published in 2017 at "Geocarto International"
DOI: 10.1080/10106049.2016.1140824
Abstract: Abstract The main aim of present study is to compare three GIS-based models, namely Dempster–Shafer (DS), logistic regression (LR) and artificial neural network (ANN) models for landslide susceptibility mapping in the Shangzhou District of Shangluo… read more here.
Keywords: susceptibility; dempster shafer; gis based; study ... See more keywords
Coral habitat mapping: a comparison between maximum likelihood, Bayesian and Dempster–Shafer classifiers
Sign Up to like & getrecommendations! Published in 2019 at "Geocarto International"
DOI: 10.1080/10106049.2019.1637466
Abstract: Abstract This study deals with the mixed-pixel problem of detecting benthic habitat class membership and evaluates two soft classifiers for coral habitat mapping on Lang Tengah island (Malaysia). A comparison was made between the Bayesian… read more here.
Keywords: bayesian dempster; habitat mapping; dempster shafer; maximum likelihood ... See more keywords
An ELECTRE-Based Multiple Criteria Decision Making Method for Supplier Selection Using Dempster-Shafer Theory
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2924945
Abstract: The selection of the optimal supply is an open and crucial issue in supply chain management (SCM), which can be considered as a multi-criteria decision-making (MCDM) problem where the expression and processing of uncertain information… read more here.
Keywords: criteria decision; electre based; decision making; dempster shafer ... See more keywords
The Evaluation on Development Quality of Open Education Based on Dempster-Shafer With Multigranularity Unbalanced Hesitant Fuzzy Linguistic Information for Chinese Case
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3190636
Abstract: Multi-granularity unbalanced hesitant fuzzy linguistic term set (MGUHFLTS) is an effective expression of linguistic information, which applied in multi-attribute group decision-making (MAGDM), meanwhile Dempster-Shafer evidence theory (DSET) is profound method of representing and aggregating uncertain… read more here.
Keywords: information; unbalanced hesitant; dempster shafer; fuzzy linguistic ... See more keywords
Efficient Computation of Conditionals in the Dempster-Shafer Belief Theoretic Framework.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2020.3017340
Abstract: The Dempster-Shafer (DS) belief theory constitutes a powerful framework for modeling and reasoning with a wide variety of uncertainties due to its greater expressiveness and flexibility. As in the Bayesian probability theory, the DS theoretic… read more here.
Keywords: shafer belief; dst; dempster shafer; dst conditional ... See more keywords
Application of Dempster–Shafer Networks to a Real-Time Unmanned Systems Risk Analysis Framework
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Aerospace Information Systems"
DOI: 10.2514/1.i010924
Abstract: The authors would like to thank the following people for participating in the 2018 UAS Safety Symposium at Georgia Tech since that effort provided much of the driver for this research: Roy Burke, Julianna Burke,… read more here.
Keywords: application dempster; time unmanned; networks real; shafer networks ... See more keywords
A Networked Method for Multi-Evidence-Based Information Fusion
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e25010069
Abstract: Dempster–Shafer evidence theory is an effective way to solve multi-sensor data fusion problems. After developing many improved combination rules, Dempster–Shafer evidence theory can also yield excellent results when fusing highly conflicting evidence. However, these approaches… read more here.
Keywords: information; fusion; multi; dempster shafer ... See more keywords