We consider finite model approximations of discretetime partially observed Markov decision processes (POMDPs) under the discounted cost criterion. After converting the original partially observed stochastic control problem to a fully observed one on the belief space, the finite models are obtained through the uniform quantization of the state and action spaces of the belief space Markov decisio...

In this paper, we present a decision support system which is based on the transferable belief model(TBM), a model that quantiies someone's degree of belief using belief functions. The system performs evidential reasoning and decision making by integrating an evidential system for belief function propagation and a valuation-based system for Bayesian decision analysis. The two subsystems are both...

Markov decision process (MDP) is commonly used to model a stochastic environment for supporting optimal decision making. However, solving a large-scale MDP problem under the partially observable condition (also called POMDP) is known to be computationally intractable. Belief compression by reducing belief state dimension has recently been shown to be an effective way for making the problem trac...

TOPSIS is one of the major techniques in dealing with multiple criteria decision making (MCDM) problems, and Belief Structure (BS) model and Fuzzy BS model have been used successfully for uncertain MCDM with incompleteness, impreciseness or ignorance. In this paper, the TOPSIS method with Fuzzy BS model is proposed to solve Group Belief MCDM problems. Firstly, the Group Belief MCDM problem is s...

Because of the paramount importance of job satisfaction and due to its main consequences such as reduction of work absence and resignation, personnel promotion and society’s health, and more importantly, its role in achievement of organization goals, this study aimed at investigating the effects of six social factors including personnel’s belief, salary and benefits, participation in organizati...

The Decision On Belief (DOB) control chart is a univariate that was initially introduced as solution to the problem of less than optimal limits from shewhart attribute diagram, especially C. new scheme based on DOB calculation step , can change data which not normally distributed into normal distribution, then diagnose quality process errors. . defines belief or an assumption in observation vec...

This paper examines proposals for decision making with Dempster-Shafer belief functions from the perspectives of requirements for decision under ignorance and sequential consistency. The focus is on the proposals by Jaffray & Wakker and Giang & Shenoy applied for partially consonant belief functions. We formalize the concept of sequential consistency of an evaluation model and prove results abo...

Background MRI has a central value in frontotemporal dementia (FTD) diagnostic workup. We set out to examine how results impact FTD cases workup and clinician belief revision. Method Questionnaire Neuropsychiatry International Consortium Frontotemporal Dementia (NIC-FTD) members February 2021 (n = 23) with follow-up questionnaire June 13). Result About 90.9% of respondents indicated that first ...