4.7 Article

Approach for aggregating interval-valued intuitionistic fuzzy information and its application to reservoir operation

Journal

EXPERT SYSTEMS WITH APPLICATIONS
Volume 38, Issue 7, Pages 9032-9035

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2011.01.011

Keywords

Multiple attribute decision making; Interval-valued intuitionistic fuzzy information; Aggregation operator; Weight

Funding

  1. Special Research Foundation for the Public Welfare Industry of the Ministry of Science and Technology
  2. Ministry of Water Resources [200701008]
  3. National S&T Supported Plan of China [2008BAB29B08]
  4. National Natural Science Foundation of China [50539140]

Ask authors/readers for more resources

In this article, we concentrate on the interval-valued intuitionistic fuzzy multiple attribute decision making problems with preference information on schemes and incomplete weight information. First some operational laws, score function and accuracy function of interval-valued intuitionistic fuzzy numbers are defined, and based on these, a method for ranking interval-valued intuitionistic fuzzy numbers is presented, then an optimization model based on the minimizing deviation method, by which the attribute weights can be determined, is established, so an approach for decision making with interval-valued intuitionistic fuzzy information is developed, finally these are applied to practical reservoir operation and the optimal scheme is obtained. This case study shows that the model and corresponding method are scientific and practical. (C) 2011 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available