A Method for Interval-valued Intuitionistic Fuzzy Multiple Attribute Decision Making with Incomplete Weight Information

DOI

10.2991/iske.2007.129How to use a DOI?

Keywords

interval-valued intuitionistic fuzzy numbers; operation laws; interval-valued intuitionistic fuzzy weighted arithmetic averaging (IIWAA) operator; incomplete weight

Abstract

With respect to multiple attribute decision making problems with interval-valued intuitionistic fuzzy information, some operational laws of interval-valued intuitionistic fuzzy numbers, score function and accuracy function of interval-valued intuitionistic fuzzy numbers are introduced. An optimization model based on the ideal solution and min-max operator, by which the attribute weights can be determined, is established. We utilize the interval-valued intuitionistic fuzzy weighted arithmetic averaging (IIWAA) operator to aggregate the interval-valued intuitionistic fuzzy information corresponding to each alternative, and then rank the alternatives and select the most desirable one(s) according to the score function and accuracy function. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Guiwu Wei
AU  - Wende Yi
PY  - 2007/10
DA  - 2007/10
TI  - A Method for Interval-valued Intuitionistic Fuzzy Multiple Attribute Decision Making with Incomplete Weight Information
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 753
EP  - 759
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.129
DO  - 10.2991/iske.2007.129
ID  - Wei2007/10
ER  -