Probabilistic linguistic q-rung orthopair fuzzy Generalized Dombi and Bonferroni mean operators for group decision-making with unknown weights of experts

Article Computer Science, Artificial Intelligence

Multi-attribute decision making using q-rung orthopair fuzzy weighted fairly aggregation operators

Abhijit Saha et al.

Summary: This study introduces the concept of q-rung orthopair fuzzy sets and numbers, and develops new operational laws and weighted aggregation operators to ensure neutrality and fairness in handling membership and non-membership functions.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)

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Article Computer Science, Artificial Intelligence

Probabilistic linguistic multiple attribute group decision making for location planning of electric vehicle charging stations based on the generalized Dice similarity measures

Guiwu Wei et al.

Summary: This study focuses on the location planning of electric vehicle charging stations, introducing novel probabilistic linguistic similarity measures and decision models based on these measures. A practical case demonstrates the effectiveness and advantages of these methods.

ARTIFICIAL INTELLIGENCE REVIEW (2021)

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Article Computer Science, Artificial Intelligence

Local adjustment strategy-driven probabilistic linguistic group decision-making method and its application for fog-haze influence factors evaluation

Lidan Pei et al.

Summary: This paper focuses on the application of probabilistic linguistic term sets in group decision-making problems, emphasizing the processes of consistency adjustment, consensus-achieving, and desirable alternative selection. By constructing a GDM method with a local adjustment strategy, the reliable ranking order of alternatives can be determined.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2021)

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Article Computer Science, Artificial Intelligence

A probabilistic linguistic evaluation-based multi-stage medical scheme selection process related to referral system

Bo Li et al.

Summary: This paper presents a multi-stage medical scheme selection process, introducing preference relations under the probabilistic linguistic term environment, checking and repairing inconsistent relations to obtain comprehensive assessment, and combining historical data and evaluations using BM operator and Choquet integral to select suitable medical schemes.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

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Article Computer Science, Information Systems

Group decision making with incomplete q-rung orthopair fuzzy preference relations

Zhiming Zhang et al.

Summary: This paper proposes a novel group decision making method for incomplete q-rung orthopair fuzzy preference relations (q-ROFPRs) environments. The method includes an additive consistency definition and models for obtaining missing judgments. The proposed method aims to improve consensus degrees and outperform existing methods for GDM in incomplete q-ROFPRs environments.

INFORMATION SCIENCES (2021)

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Article Computer Science, Artificial Intelligence

A new possibility degree measure for interval-valued q-rung orthopair fuzzy sets in decision-making

Harish Garg

Summary: This paper presents a new consciousness of interval-valued q-rung orthopair fuzzy sets and discusses its application in decision-making problems. It utilizes possibility degree measure to compare uncertain information and proposes an innovative ranking method. The superiority and applicability of the method are demonstrated through numerical examples.

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2021)

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Article Computer Science, Artificial Intelligence