A novel measured function for mcdm problem based on interval-valued intuitionistic fuzzy sets

5Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

Abstract

Several papers have presented measured function to handle multi-criteria fuzzy decision-making problems based on interval-valued intuitionistic fuzzy sets. However, in some cases, the proposed function cannot give sufficient information about alternatives. Consequently, in this paper, we will overcome previous insufficient problem and provide a novel accuracy function to measure the degree of the interval-valued intuitionistic fuzzy information. And a practical example has been provided to demonstrate our proposed approach. In addition, to make computing and ranking results easier and to increase the recruiting productivity, a computer-based interface system has been developed for decision makers to make decisions more efficiently. Copyright © 2010 The Institute of Electronics, Information and Communication Engineers.

Cite

CITATION STYLE

APA

Hung, K. C., Tsai, Y. C., Lin, K. P., & Julian, P. (2010). A novel measured function for mcdm problem based on interval-valued intuitionistic fuzzy sets. IEICE Transactions on Information and Systems, E93-D(11), 3059–3065. https://doi.org/10.1587/transinf.E93.D.3059

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free