Results 31 to 40 of about 3,693,066 (305)

Uncertainty in measurements of distance [PDF]

Classical and Quantum Gravity, 2002
5 pages ...
Baez, John C., Olson, S. Jay
openaire   +3 more sources

Paradox Elimination in Dempster–Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion

Sensors, 2019
Multi-sensor data fusion technology in an important tool in building decision-making applications. Modified Dempster−Shafer (DS) evidence theory can handle conflicting sensor inputs and can be applied without any prior information.
Md Nazmuzzaman Khan, Sohel Anwar
doaj   +1 more source

Effective Attribute Reduction Algorithm Based on Fuzzy Uncertainties Using Shared Neighborhood Granulation

IEEE Access
As a very prominent research application of the theory of rough sets, attribute reduction technique has made significant strides in a lot of fields, including decision making, granular computing, etc.
Shengli Gao
doaj   +1 more source

Uncertainty Measure for Multisource Intuitionistic Fuzzy Information System

Complexity, 2022
Multisource information systems and multigranulation intuitionistic fuzzy rough sets are important extended types of Pawlak’s classical rough set model.
Hong Wang, Hong Li
doaj   +1 more source

An Improved Belief Entropy to Measure Uncertainty of Basic Probability Assignments Based on Deng Entropy and Belief Interval

Entropy, 2019
It is still an open issue to measure uncertainty of the basic probability assignment function under Dempster-Shafer theory framework, which is the foundation and preliminary work for conflict degree measurement and combination of evidences.
Yonggang Zhao, Duofa Ji, Xiaodong Yang, Liguo Fei, Changhai Zhai   +4 more
doaj   +1 more source

A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy

Entropy, 2019
Uncertain information exists in each procedure of an air combat situation assessment. To address this issue, this paper proposes an improved method to address the uncertain information fusion of air combat situation assessment in the Dempster– ...
Ying Zhou, Yongchuan Tang, Xiaozhe Zhao
doaj   +1 more source

A Dual Measure of Uncertainty: The Deng Extropy

Entropy, 2020
The extropy has recently been introduced as the dual concept of entropy. Moreover, in the context of the Dempster–Shafer evidence theory, Deng studied a new measure of discrimination, named the Deng entropy.
Francesco Buono, Maria Longobardi
doaj   +1 more source

Attribute Reduction of Incomplete Neighborhood Decision Rough Sets Based on Decision‑Cost Fusion Measures

Shuju Caiji Yu Chuli
Attribute reduction relies on knowledge granulation and uncertainty measurement， thus facilitating intelligent recognition. For incomplete continuous data， neighborhood decision rough sets induce attribute reduction.
ZHANG Wanxiang, ZHANG Xianyong, YANG Jilin, CHEN Benwei   +3 more
doaj   +1 more source

Measuring Uncertainty in Forensic Science

IEEE Instrumentation & Measurement Magazine, 2021
This paper aims at describing the ways in which uncertainty is (or is not) measured in the field of forensic science and how the measure of uncertainty can be used to make better judicial decisions. From the traditional fingerprint comparison to the latest advances in forensic DNA analysis, we discuss the advantages and drawbacks of various ways of ...
Vuille, Joelle, Taroni, Franco
openaire   +2 more sources

Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification

IEEE Access, 2022
Automatic classification of diabetic retinopathy from retinal images has been increasingly studied using deep neural networks with impressive results.
Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Sarkka, Leo Karkkainen, Kustaa Hietala, Kimmo K. Kaski   +7 more
doaj   +1 more source