Induced intuitionistic fuzzy ordered weighted averaging - weighted average operator and its application to business decision-making

Zeng Shouzhen1, Wang Qifeng2, José M. Merigó3 and Pan Tiejun1

  1. College of Computer and Information, Zhejiang Wanli University
    Ningbo, 315100, China
    {zszzxl, Pantiejun}@163.com
  2. College of Modern Logistics, Zhejiang Wanli Univeristy
    Ningbo, 315100, China
    Lhywqf@163.com
  3. Manchester Business School, University of Manchester
    Booth Street West, M15 6PB Manchester, UK
    jose.merigolindahl@mbs.ac.uk

Abstract

We present the induced intuitionistic fuzzy ordered weighted averaging-weighted average (I-IFOWAWA) operator. It is a new aggregation operator that uses the intuitionistic fuzzy weighted average (IFWA) and the induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator in the same formulation. We study some of its main properties and we have seen that it has a lot of particular cases such as the IFWA and the intuitionistic fuzzy ordered weighted averaging (IFOWA) operator. We also study its applicability in a decision-making problem concerning strategic selection of investments. We see that depending on the particular type of I-IFOWAWA operator used, the results may lead to different decisions.

Key words

Intuitionistic fuzzy sets, weighted average, IOWA operator, decision-making

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS130109046S

Publication information

Volume 11, Issue 2 (June 2014)
Year of Publication: 2014
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Shouzhen, Z., Qifeng, W., Merigó, J. M., Tiejun, P.: Induced intuitionistic fuzzy ordered weighted averaging - weighted average operator and its application to business decision-making. Computer Science and Information Systems, Vol. 11, No. 2, 839–857. (2014)