Results 21 to 30 of about 6,227,183 (247)
Towards a general class of parametric probability weighting functions [PDF]
Soft Computing, 2020 AbstractIn this study, we present a novel methodology that can be used to generate parametric probability weighting functions, which play an important role in behavioral economics, by making use of the Dombi modifier operator of continuous-valued logic.
József Dombi 0001, Tamás Jónás
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Technological and Economic Development of Economy, 2023 Probabilistic dual hesitant fuzzy set (PDHFS) is a more powerful and important tool to describe uncertain information regarded as generalization of hesitant fuzzy set (HFS) and dual HFS (DHFS), not only reflects the hesitant attitude of decision-makers (
Baoquan Ning +3 more
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Jixie qiangdu, 2023 Time-dependent failure probability function(TDFPF) of parameters is one of the key problems of structural time-dependent reliability-based optimization.
QIAN YuGeng, YUAN XiuKai, CHEN JingQiang
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A Decision Probability Transformation Method Based on the Neural Network
Entropy, 2022 When the Dempster–Shafer evidence theory is applied to the field of information fusion, how to reasonably transform the basic probability assignment (BPA) into probability to improve decision-making efficiency has been a key challenge.
Junwei Li, Aoxiang Zhao, Huanyu Liu
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Transformations to symmetry based on the probability weighted characteristic function [PDF]
Kybernetika, 2015 We suggest a nonparametric version of the probability weighted empirical characteristic function (PWECF) introduced by Meintanis \et al.\ \\cite\meiswaall2014\ and use this PWECF in order to estimate the parameters of arbitrary transformations to symmetry. The almost sure consistency of the resulting estimators is shown. Finite-sample results for i.i.d.
Meintanis, Simos, Stupfler, Gilles
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Prospect theory: A parametric analysis of functional forms in Brazil
RAE: Revista de Administração de Empresas, 2017 This study aims to analyze risk preferences in Brazil based on prospect theory by estimating the risk aversion parameter of the expected utility theory (EUT) for a select sample, in addition to the value and probability function parameter, assuming ...
Robert Eugene Lobel +3 more
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Music-evoked incidental happiness modulates probability weighting during risky lottery choices
Frontiers in Psychology, 2014 We often make decisions with uncertain consequences. The outcomes of the choices we make are usually not perfectly predictable but probabilistic and the probabilities can be known or unknown.
Stefan eSchulreich +6 more
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The Slicing Method: Determining Insensitivity Regions of Probability Weighting Functions
Computational Economics, 2021 A popular rule of thumb, usually called "heuristic technique" in Behavioral Economics, for determining the likelihood insensitivity regions of probability weighting functions (pwf's) is based on searching for points at which the pwf's are twice their values at half the points.
Egozcue, Martin +2 more
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Frontiers in Psychology, 2019 Our understanding of the decisions made under scenarios where both descriptive and experience-based information are available is very limited. Underweighting of small probabilities was observed in the gain domain when both description and experience were
Shruti Goyal, Krishna P. Miyapuram
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Risk Attitude in the DuLong Minority Ethnicity of China
Frontiers in Psychology, 2021 Prospect theory predicts a four-fold risk attitude, which means that people are risk seeking for low-probability gain and high-probability loss and risk averse for low-probability loss and high-probability gain because they overweight probability when it
Lili Tan, Siyuan Li, Xiaomin Zhang
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