Modeling Reliability of Threshold Weighted Indecisive Voting Systems

Hainan Zhang, Hoang Pham

Research output: Contribution to journalArticle

Abstract

In industry, the method of hypothesis acceptance based on available information is widely used in applications such as system modeling. Xie and Pham modeled the reliability of weighted threshold voting systems with a general recursive reliability function in human organization systems. As an extended study, we introduce a generalized weighted indecisive-voting $n$ -unit system using a new decision rule consisting both a threshold parameter $\tau $ and a new indecisive parameter $\theta $. In general, indecision happens due to limited information, and an indecisive parameter is then applied if no decision is made. System reliability $R$ is calculated to show the system performance. Main results imply a strong dependence of system performance on decision rule and large potential of model adjustment via parameter initialization. The contribution of this article is that we introduce the indecisive effect to make the model more adjustable for specific needs.

Original languageEnglish (US)
Article number8897140
Pages (from-to)35-41
Number of pages7
JournalIEEE Transactions on Computational Social Systems
Volume7
Issue number1
DOIs
StatePublished - Feb 2020

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All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Social Sciences (miscellaneous)
  • Human-Computer Interaction

Keywords

  • Decision rule
  • indecisive decision
  • system reliability
  • threshold weighted voting

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