A Probabilistic and Decision Attitude Aggregation Operator for Intuitionistic Fuzzy Environment
Article first published online: 17 JUN 2013
© 2013 Wiley Periodicals, Inc.
International Journal of Intelligent Systems
Volume 28, Issue 8, pages 806–839, August 2013
How to Cite
Agarwal, M., Hanmandlu, M. and Biswas, K. K. (2013), A Probabilistic and Decision Attitude Aggregation Operator for Intuitionistic Fuzzy Environment. Int. J. Intell. Syst., 28: 806–839. doi: 10.1002/int.21603
- Issue published online: 17 JUN 2013
- Article first published online: 17 JUN 2013
In this paper, a new operator for aggregation of uncertain information under intuitionistic fuzzy environment is proposed. A novel approach is proposed for the selection of best alternative action in the face of the imprecise probabilities and the complex attitudinal character of the decision makers (DMs). This approach is distinguished with its capacity to accommodate the linguistic specification of probabilities as provided by human experts directly without the need to determine the fuzzy membership grades. The focus is to compute the net payoff for each alternative in the face of uncertain states of nature and DM's attitude. The proposed operator and the approach are illustrated through two real case studies.