Skip to content

Opening book details…

Can I read An extended MABAC method for multi-criteria group decision-making problems based on correlative inputs of intuitionistic fuzzy information on EtoBox?

An extended MABAC method for multi-criteria group decision-making problems based on correlative inputs of intuitionistic fuzzy information by Ru-xia Liang; Sang-sang He; Jian-qiang Wang; Ke Chen; Lin Li is a Mathematics article available to read on EtoBox.

What is An extended MABAC method for multi-criteria group decision-making problems based on correlative inputs of intuitionistic fuzzy information about?

This study aims to introduce a series of novel distance measures of an intuitionistic fuzzy set and an extended Multi-attributive Border Approximation Area Comparison method to address multi-criteria group decision-making problems. To aggregate the intuitionistic fuzzy information, we propose two aggregation operators, namely, the intuitionistic fuzzy Dombi generalised λ-Shapley Choquet arithmetical average operator and intuitionistic fuzzy Dombi generalised λ-Shapley Choquet geometric average operator. These aggregation operators consider the importance of combinations and correlations among combinations of input arguments. Furthermore, an illustrative example of a human resource management problem is presented to verify the effectiveness of the proposed method, and sensitivity and comparison analyses are conducted to demonstrate the technique's stability and advancements. Finally, conclusions are drawn.

Who reads An extended MABAC method for multi-criteria group decision-making problems based on correlative inputs of intuitionistic fuzzy information?

It is typically read by researchers, students, and practitioners in Mathematics.

Author
Ru-xia Liang; Sang-sang He; Jian-qiang Wang; Ke Chen; Lin Li
Publisher
Springer Science and Business Media LLC
Published
2019
Language
EN
Field
Mathematics (Physical Sciences)

More by Ru-xia Liang; Sang-sang He; Jian-qiang Wang; Ke Chen; Lin Li

Browse all works by Ru-xia Liang; Sang-sang He; Jian-qiang Wang; Ke Chen; Lin Li