2019
DOI: 10.33889/ijmems.2019.4.3-043
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Reliability and Cost-Benefit Analysis for Two-Stage Intervened Decision-Making Systems with Interdependent Decision Units

Abstract: This paper deals with a special type of voting systems, called two-stage intervened decision-making systems, in which the decision time of each decision unit will be a random variable and some supervising mechanism is included. A new decision rule is applied to such kind of systems, which makes the decision units become interdependent from each other. The reliability and cost-benefit models are developed. The optimization for the models is discussed and the optimal solution for a special case is also derived. … Show more

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Cited by 5 publications
(3 citation statements)
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“…Deep learning methods can be applied in the continuation of these studies [40][41][42][43]. Moreover, optimization algorithms are also recommended in the future [44][45][46][47]. Various validation methods are suggested in this regard, such as experimental tests, numerical simulations, analytical solutions, or comparative studies [48,49].…”
Section: Discussionmentioning
confidence: 99%
“…Deep learning methods can be applied in the continuation of these studies [40][41][42][43]. Moreover, optimization algorithms are also recommended in the future [44][45][46][47]. Various validation methods are suggested in this regard, such as experimental tests, numerical simulations, analytical solutions, or comparative studies [48,49].…”
Section: Discussionmentioning
confidence: 99%
“…Total cost of ownership (TCO) analysis can help address the economic concerns and provide a clearer picture of the viability of FCEBs, thereby aiding transit agencies in making informed decisions about transitioning to a FCEB fleet [14][15][16][17][18][19][20][21][22][23]. While BEBs have been widely analyzed, there are only a few studies in the literature focusing on the TCO analysis of FCEBs.…”
Section: Introductionmentioning
confidence: 99%
“…For cost analysis, the authors used Markov techniques and calculated the system availability using the Genetic algorithm in case of optimal repair. Lin and Pham [28] studied a voting system, which had two stages cut in the decision-making system and calculated the reliability and cost optimization of the system. The authors also discussed a new approach for solving decision-making problems.…”
Section: Introductionmentioning
confidence: 99%