Open AccessReliability and Cost-Benefit Analysis for Two-Stage Intervened Decision-Making Systems with Interdependent Decision Units
Author(s) -
Tingnan Lin,
Hoang Pham
Publication year - 2019
Publication title -
international journal of mathematical, engineering and management sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 10
ISSN - 2455-7749
DOI - 10.33889/ijmems.2019.4.3-043
Subject(s) - interdependence , reliability (semiconductor) , computer science , optimal decision , decision analysis , voting , decision model , decision rule , decision engineering , influence diagram , operations research , decision support system , mathematical optimization , reliability engineering , business decision mapping , decision tree , mathematics , artificial intelligence , engineering , machine learning , statistics , power (physics) , physics , quantum mechanics , politics , political science , law
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. A numerical example for model optimization is presented as well as some model comparison. Even though a specific application is used for model formulation and derivation throughout this paper, the modeling results can be easily modified and applied to many other systems.