On replacement models via a fuzzy set theoretic framework

摘要: Uncertainty is present in virtually all replacement decisions due to unknown future events, such as revenue streams, maintenance costs, and inflation. Fuzzy sets provide a mathematical framework for explicitly incorporating imprecision into the decision making model, especially when system involves human subjectivity. This paper illustrates use of fuzzy possibility theory model uncertainty via variables numbers. In particular, set approach economic life an asset calculation well finite-horizon single problem with multiple challengers discussed. Because triangular numbers provides compromise between computational efficiency realistic modeling uncertainty, this discussion emphasizes The algorithms used determine optimal policy incorporate arithmetic, dynamic programming (DP) rewards, vertex method, various ranking methods A brief history analysis, current conventional techniques, basic concepts theory, advantages generalization are also