A new divergence measure for belief functions in D–S evidence theory for multisensor data fusion
F **ao - Information Sciences, 2020 - Elsevier
Abstract Dempster–Shafer (D–S) evidence theory is useful for handling uncertainty
problems in multisensor data fusion. However, the question of how to handle highly …
problems in multisensor data fusion. However, the question of how to handle highly …
A conflict evidence fusion method based on the composite discount factor and the game theory
X Liu, S Liu, J **ang, R Sun - Information Fusion, 2023 - Elsevier
Abstract Dempster–Shafer (D–S) evidence theory is widely used in various fields of
information fusion. However, it is still an open issue that the D–S evidence theory may …
information fusion. However, it is still an open issue that the D–S evidence theory may …
Model-free sliding mode control of nonlinear systems: Algorithms and experiments
This paper proposes two model-free sliding mode control system (MFSMCS) structures. The
new structures are compared with a model-free intelligent proportional-integral (iPI) control …
new structures are compared with a model-free intelligent proportional-integral (iPI) control …
[HTML][HTML] A decision-making model with cloud model, z-numbers, and interval-valued linguistic neutrosophic sets
H Chen, J Shi, Y Lyu, Q Jia - Entropy, 2024 - pmc.ncbi.nlm.nih.gov
Interval-valued linguistic neutrosophic sets (IVLNSs), Z-numbers, and the trapezium cloud
model are powerful tools for expressing uncertainty and randomness. This paper aims to …
model are powerful tools for expressing uncertainty and randomness. This paper aims to …
Fuzzy probability theory
M Beer - Granular, Fuzzy, and Soft Computing, 2023 - Springer
Fuzzy probability theory is an extension to probability theory to dealing with a mix of
probabilistic uncertainty and non-probabilistic imprecision. It provides a theoretical basis to …
probabilistic uncertainty and non-probabilistic imprecision. It provides a theoretical basis to …
Total utility of Z-number
Z-numbers, combined with “constraint” and “reliability”, has more power to express human
knowledge. How to determine the ordering of Z-numbers and how to make a decision with Z …
knowledge. How to determine the ordering of Z-numbers and how to make a decision with Z …
A review on some arithmetic concepts of Z-number and its application to real-world problems
M Abdullahi, T Ahmad… - International Journal of …, 2020 - World Scientific
Zadeh introduced the concept of Z-numbers in 2011 to deal with imprecise information. In
this regard, many research works have been published in an attempt to introduce some …
this regard, many research works have been published in an attempt to introduce some …
Neural network approach to solving fuzzy nonlinear equations using Z-numbers
In this article, the fuzzy property is described by means of the Z-number as the coefficients
and variables of the fuzzy equations. This alteration for the fuzzy equation is appropriate for …
and variables of the fuzzy equations. This alteration for the fuzzy equation is appropriate for …
Quantitative predictions in quantum decision theory
Quantum decision theory, advanced earlier by the authors, and illustrated for lotteries with
gains, is generalized to the games containing lotteries with gains as well as losses. The …
gains, is generalized to the games containing lotteries with gains as well as losses. The …
Comparing the reliability of software systems: A case study on mobile operating systems
Assessment of software reliability is inevitable in modern software production process. Many
works aimed at better models for measurement and prediction of reliability of software …
works aimed at better models for measurement and prediction of reliability of software …