Using the TODIM method as a Multi-Criteria Decision-Making support methodology for an automobile parts manufacturing company

Article Computer Science, Artificial Intelligence

A generalized TODIM-ELECTRE II method based on linguistic Z-numbers and Dempster-Shafer evidence theory with unknown weight information

Zhengmin Liu et al.

Summary: This study proposes a method for multi-criteria group decision-making under uncertain circumstances, considering the behavior of decision-makers and non-compensation between attributes. A novel generalized TODIM-ELECTRE II method is introduced, and its superiority is verified through a comparative analysis with existing methods.

COMPLEX & INTELLIGENT SYSTEMS (2022)

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Article Automation & Control Systems

A generalized TODIM-ELECTRE II based integrated decision-making framework for technology selection of energy conservation and emission reduction with unknown weight information

Zhengmin Liu et al.

Summary: The paper establishes a new integrated decision-making framework for technology selection problems by utilizing double hierarchy hesitant fuzzy linguistic term sets for describing alternative performance and proposing improved operations and comparison methods for double hierarchy hesitant fuzzy linguistic elements. A novel method based on normalized projection-based difference measurement is introduced for deriving expert weights and a group decision-making method based on the best-worst method is used to derive criteria weights. An integrated generalized TODIM-ELECTRE II method is developed for ranking alternatives, addressing non-compensatory criteria and expert risk-aversion behavior. The practicality and reliability of the framework are demonstrated through a case study and comparative analysis with existing methods.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)

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Article Computer Science, Information Systems

Method for Ranking the Helpfulness of Online Reviews Based on SO-ILES TODIM

Huifang Dong et al.

Summary: The study proposed a TODIM method based on emotional and ontological features in evaluating the helpfulness of reviews comprehensively. By constructing an intuitive language evaluation set, designing a quantitative calculation method, and utilizing score and exact functions, this method effectively prioritizes reviews that directly evaluate the product. Through comparative and sensitivity analyses, the stability and scientific rigor of the SO-ILES TODIM method were demonstrated, offering new insights for merchants or platforms in managing online reviews.

IEEE ACCESS (2021)

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Proceedings Paper Engineering, Multidisciplinary