The extended ELECTRE III group decision making method based on regret theory under probabilistic interval-valued hesitant fuzzy environments

Article Computer Science, Cybernetics

A multi-criterion group decision-making method based on regret theory under 2-tuple linguistic environment

Xiang Jia et al.

Summary: This paper proposes a multi-criterion group decision-making method by combining regret theory and Choquet integral, suitable for handling various decision-making problems.

KYBERNETES (2023)

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Article Computer Science, Information Systems

A consensual method for multi-criteria group decision-making with linguistic intuitionistic information

Shu-Ping Wan et al.

Summary: The paper introduces the concept of lowest consensus threshold and develops a new two-stage CRP method for MCGDM with LIFVs. Simulation experiments show that the value of lowest consensus threshold decreases with increasing number of decision makers, and the first stage in CRP can enhance the value of this threshold.

INFORMATION SCIENCES (2022)

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Article Computer Science, Artificial Intelligence

An integrated group decision-making framework for selecting cloud service providers based on regret theory and EVAMIX with hybrid information

Zhengmin Liu et al.

Summary: Selecting the optimal CSP is a crucial decision-making process for enterprises to embrace the digital era, involving multiple criteria and psychological behavior. This paper introduces a new decision-making support framework that incorporates regret theory to consider psychological behavior, and validates its effectiveness and superiority in CSP selection through parameter analysis and comparison with existing methods.

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2022)

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Article Computer Science, Artificial Intelligence

New method for emergency decision making with an integrated regret theory-EDAS method in 2-tuple spherical linguistic environment

Lin Huang et al.

Summary: With the occurrence of various emergency events becoming increasingly frequent, emergency decision making (EDM) has gained significant attention in research. This study proposes a new EDM method that integrates regret theory, evaluation based on distance from average solution (EDAS) method, and 2-tuple spherical linguistic term sets (TSLTSs). The method efficiently ranks and selects the optimal emergency response solution by considering decision makers' uncertain and vague evaluations. The proposed method is applied to a public health emergency in China and is shown to be superior and practical through a comparative analysis with other EDM methods.

APPLIED INTELLIGENCE (2022)

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Article Computer Science, Artificial Intelligence

Regret Theory-Based Three-Way Decision Model in Hesitant Fuzzy Environments and Its Application to Medical Decision

Jiajia Wang et al.

Summary: This paper introduces a regret-theory-based three-way decision model in hesitant fuzzy environments, which can handle uncertain decision-making problems in the medical field. It also provides a three-way classification method based on the preference ranking organization method for enrichment evaluations.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2022)

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Article Computer Science, Artificial Intelligence

Decision framework with integrated methods for group decision-making under probabilistic hesitant fuzzy context and unknown weights

Harish Garg et al.

Summary: This article presents a new decision-making approach that calculates weights and aggregates preferences by considering factors such as attitude, regret/rejoice, and variance. The approach also uses the WASPAS method to rank objects. The proposed framework is demonstrated with a numerical example and compared to existing studies to show its superiority.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

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Article Environmental Sciences

Site selection for artificial recharge with treated wastewater with the integration of multi-criteria evaluation and ELECTRE III

Marwa Mahmoudi et al.

Summary: The study used GIS and MCE to determine suitable artificial recharge sites for treated wastewater in Ariana, Tunisia by considering multiple factors, resulting in the identification of three potential suitable recharge locations.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021)

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Article Computer Science, Interdisciplinary Applications

A semantic model for computing with flexible linguistic expressions and the application in MCGDM

Le Jiang et al.

Summary: The paper proposes representing FLEs with triangular fuzzy numbers and introduces two approaches based on the maximum entropy principle to compute triangular fuzzy membership functions for complete and incomplete FLEs. A multi-criteria group decision making (MCGDM) model based on FLEs is then proposed, with a consensus reaching process introduced to improve decision makers' consensus. The MCGDM model is applied to an autonomous driving evaluation problem in the end.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

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Article Management