Applying Interval GTMA Method for Technology Selection in the Presence of both Cardinal and Ordinal Data

نویسندگان

  • Hossein Safari
  • Abdol Hossein Jafarzadeh
  • Ehsan khanmohammadi
  • Mohammad Reza Fathi
چکیده

Selection of technologies is one of the most challenging decision making areas the management of a company encounters. It is difficult to clarify the right technology alternatives because the number of technologies is increasing and the technologies are becoming more and more complex. The objective of this paper is to present a new method for selecting technology by using of Interval GTMA method in the presence of both cardinal and ordinal data. A numerical example demonstrates the application of the proposed method.

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تاریخ انتشار 2013