File(s) under permanent embargo

Reason: Unsuitable version.

A random intuitionistic fuzzy factor analysis model for complex multi-attribute large group decision-making in dynamic environments

journal contribution
posted on 30.03.2021, 14:22 by Xiaohong Chen, Mengjing Wu, Chunqiao Tan, Tao Zhang
The challenge of complex multi-attribute large group decision-making (CMALGDM) is reflected from three perspectives: interrelated attributes, large group decision makers (DMs) and dynamic decision environments. However, there are few decision techniques that can address the three perspectives simultaneously. This paper proposes a random intuitionistic fuzzy factor analysis model, aiming to address the challenge of CMALGDM from the three perspectives. The proposed method effectively reduces the dimensionality of the original data and takes into account the underlying random environmental factors which may affect the performances of alternatives. The development of this method follows three steps. First, the random intuitionistic fuzzy variables are developed to deal with a hybrid uncertain situation where fuzziness and randomness co-exist. Second, a novel factor analysis model for random intuitionistic fuzzy variables is proposed. This model uses specific mappings or functions to define the way in which evaluations are affected by the dynamic environment vector through data learning or prior distributions. Third, multiple correlated attribute variables and DM variables are transformed into fewer independent factors by a two-step procedure using the proposed model. In addition, the objective classifications and weights for attributes and DMs are obtained from the results of orthogonal rotated factor loading. An illustrative case and detailed comparisons of decision results in different environmental conditions are demonstrated to test the feasibility and validity of the proposed method.

Funding

Major Project of National Nature Science Foundation of China (71790615)

National Nature Science Foundation of China (71671188, 71971218)

Key Project of National Nature Science Foundation of China (91846301)

Key Laboratory of Hunan Province for New Retail Virtual Reality Technology, Hunan University of Technology and Business (2017TP1026)

History

School

  • Loughborough University London

Published in

Fuzzy Optimization and Decision Making

Volume

20

Issue

1

Pages

101 - 127

Publisher

Springer

Version

VoR (Version of Record)

Rights holder

© Springer

Publisher statement

This is a post-peer-review, pre-copyedit version of an article published in Fuzzy Optimization and Decision Making. The final authenticated version is available online at: https://doi.org/10.1007/s10700-020-09334-9.

Acceptance date

19/05/2020

Publication date

2020-07-17

Copyright date

2020

ISSN

1568-4539

eISSN

1573-2908

Language

en

Depositor

Dr Tao Zhang. Deposit date: 26 March 2021

Exports