Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions

A Thakkar, K Chaudhari - Information Fusion, 2021 - Elsevier
Investment in a financial market is aimed at getting higher benefits; this complex market is
influenced by a large number of events wherein the prediction of future market dynamics is …

An empirical study on the application of the evidential reasoning rule to decision making in financial investment

Q Gao, DL Xu - Knowledge-Based Systems, 2019 - Elsevier
Decision making in financial investment often involves conflicting information and subjective
judgment of the investors. The Evidential Reasoning (ER) rule is a probabilistic inference …

Uncertainty merging with basic uncertain information in probability environment

LS **, Y Yang, ZS Chen, M Deveci, R Mesiar - Fuzzy Sets and Systems, 2025 - Elsevier
Basic uncertain information is a recently introduced and significant type of uncertainty that
proves particularly valuable in decision-making environments with inherent uncertainties. In …

On optimal blurring of point expert estimates and their aggregation in the framework of evidence theory

A Lepskiy - Procedia Computer Science, 2022 - Elsevier
The article is devoted to solving the problem of choosing sources of prognostic expert
information for aggregation and aggregation itself in the framework of evidence theory. A …

Application of the belief function theory to the development of trading strategies

A Lepskiy, A Suevalov - Procedia Computer Science, 2019 - Elsevier
The possibility of using the belief function theory for develo** of trading strategies is
considered in this paper. An analysis of this approach is given on the data of the Russian …

Aggregation of forecasts and recommendations of financial analysts in the framework of evidence theory

E Kutynina, A Lepskiy - Advances in Fuzzy Logic and Technology 2017 …, 2018 - Springer
The article is dedicated to the method of aggregation of financial analysts' recommendations
in the framework of the evidence theory. This method considered on the example of Russian …

Dempster-Shafer theory for stock selection

N Salehy, G Ökten - 2021 IEEE 45th Annual Computers …, 2021 - ieeexplore.ieee.org
The Dempster-Shafer theory is used to develop a stock selection method. Monte Carlo
algorithms are employed to approximate Dempster's combination rule to overcome the high …

Belief Function Theory: Monte Carlo Methods and Application to Stock Markets

SN Salehy - 2019 - search.proquest.com
Belief function theory, also known as Dempster-Shafer theory or evidence theory, gives a
general framework for quantifying, representing, and managing uncertainty, and it is widely …

[PDF][PDF] An Empirical Study for the Application of the Evidential Reasoning Rule to Decision Making in Financial Investment

Q Gao - 2016 - research.manchester.ac.uk
The aim of this thesis is to explore the adaptability of the Evidential Reasoning (ER) Rule as
a method to provide a useful supporting tool for hel** investors make decisions on …

[CITAT][C] Применение теории функций доверия к разработке торговых стратегий The Application of Belief Function Theory to the Development of Trading …

АЕ Лепский, АА Суевалов