Provide a fuzzy decision tree based on past experiences to select the right production technology
Saman Siadati *, M. Jafar Tarokh **
Choosing the right technology is traditionally a human-centered approach, in which various options for investing in production are examined by a group of experts. The basic problem is that decisions are usually based on subjectivity and influenced by the experience and the feelings of the decision-makers concerned. This paper provides an experience-based decision support system that utilizes actual information from past decisions to calculate confidence indicators for the successful adaptation of existing technologies to a given set of production requirements. The fuzzy decision tree tree algorithm is applied to provide a more objective approach based on evidence from previous instances of the implementation of production technology. This model uses a data relationship between the key decision making variables of the technology, the requirements of the technology implementation project and the project's successful outputs for solving decision problems. The analysis of practical experience reflects the promising results as well as the practical dynamics of this approach.
Decision Support System, Manufacturing Technology Choice, Fuzzy Decision Tree, Data Mining
*,** Strategic Intelligence Research Laboratory, K.N.T. university of technology, Tehran, Iran