Intuitionistic fuzzy induced ordered weighted averaging distance operator and its application to decision making

Shouzhen Zeng, Jose Merigo Lindahl, Daniel Palacios-Marqués, Huanhuan Jin, Fengjuan Gu

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we develop a new method for intuitionistic fuzzy decision making problems with induced aggregation operators and distance measures. Firstly, we introduce the intuitionistic fuzzy induced ordered weighted averaging distance (IFIOWAD) operator. It is an extension of the ordered weighted averaging (OWA) operator that uses the main characteristics of the induced OWA (IOWA), the distance measures and uncertain information represented by intuitionistic fuzzy numbers. The main advantage of this operator is that it is able to consider complex attitudinal characters of the decision-maker by using order-inducing variables in the aggregation of the distance measures. We further generalize the IFIOWAD by using weighted average. The result is the intuitionistic fuzzy induced ordered weighted averaging weighted average distance (IFIOWAWAD) operator. Finally, a practical example about the selection of investments is provided to illustrate the developed intuitionistic fuzzy aggregation operators.

Original languageEnglish
Pages (from-to)11-22
Number of pages12
JournalJournal of Intelligent and Fuzzy Systems
Volume32
Issue number1
DOIs
Publication statusPublished - 2017

Keywords

  • decision making
  • distance measures
  • induced aggregation operators
  • Intuitionistic fuzzy set
  • OWA

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