Generic placeholder image

Recent Advances in Computer Science and Communications

Editor-in-Chief

ISSN (Print): 2666-2558
ISSN (Online): 2666-2566

Research Article

A Two-Sided Matching Method for Green Suppliers and Manufacturers with Intuitionistic Linguistic Preference Information

Author(s): Lan-lin Wang, Zhi Liu*, Yue-ling Zheng and Feng-juan Gu

Volume 14, Issue 8, 2021

Published on: 06 December, 2019

Page: [2507 - 2517] Pages: 11

DOI: 10.2174/2666255813666191206160937

Price: $65

Abstract

Purpose: Existing methodologies on two-sided matching seldom consider asymmetry, uncertainty, and the fuzziness of preference information; therefore, this study aims to develop a methodology for solving the selection process between green suppliers and manufacturers with intuitionistic linguistic numbers.

Methods: This study first constructs the evaluation indicators for both sides, which are depicted as intuitionistic linguistic numbers. Subsequently, we redefine the intuitionistic linguistic numbers’ expected function based on regret theory. By considering the psychological behaviors due to the regret aversion of decision makers, the study constructs the comprehensive perceived values of decision makers. Furthermore, by maximizing the comprehensive perceived values for the two sides, the multi-objective matching model is established. In addition, this study adopts a min-max method to transform the multi-objective optimal model into the single-objective model.

Conclusion: This study considers fuzziness and hesitancy of the preference information in addition to the psychological behavior arising from the regret aversion of decision makers. The two-sided matching method proposed by this paper has more validity and effectiveness than that of existing methods.

Keywords: Two-sided matching, intuitionist linguistic numbers, regret theory, min-max method, green suppliers and manufacturers.

Graphical Abstract

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy