The selection of technology forecasting method using a multi-criteria interval-valued intuitionistic fuzzy group decision making approach

Gizem Intepe*, Erhan Bozdag, Tufan Koc

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

57 Citations (Scopus)

Abstract

Technological forecasting is a tool for organizations to develop their technology strategies. The quality of forecasting is extremely important for the accuracy of the results and in turn company future. Therefore a proper selection methodology of forecasting technique that considers the characteristics of technology and resources needed such as cost, time is essential. On the other hand, although many forecasting techniques are available, there is a high uncertainty in choosing the most appropriate technique among a set of available techniques. In this paper interval valued intuitionistic fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method is proposed for the solution of technological forecasting technique selection problem. The proposed method includes seven selection criteria and twelve forecasting technique alternatives. The methodology is applied for 3D TV technology. The results revealed that Fisher Pry method is found as the most appropriate method for forecasting since it has the highest closeness coefficient.

Original languageEnglish
Pages (from-to)277-285
Number of pages9
JournalComputers and Industrial Engineering
Volume65
Issue number2
DOIs
Publication statusPublished - 2013

Keywords

  • 3D TV
  • Fuzzy TOPSIS
  • Interval valued intuitionistic fuzzy sets
  • Technology forecasting

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