Taxonomy-based multiple attribute group decision making method with probabilistic uncertain linguistic information and its application in supplier selection

Article Economics

AN ENHANCEMENT EDAS METHOD BASED ON PROSPECT THEORY

Yuhan Huang et al.

Summary: The paper introduces an enhanced EDAS method based on prospect theory, which outperforms the traditional EDAS method in practice and is of significant importance for multi-attributes decision-making problems.

TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY (2021)

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Article Computer Science, Artificial Intelligence

Improved TODIM method for intuitionistic fuzzy MAGDM based on cumulative prospect theory and its application on stock investment selection

Mengwei Zhao et al.

Summary: The paper introduces the Intuitionistic Fuzzy CPT-TODIM method for stock investment selection, improving rationality by using the CRITIC method to obtain attribute weight information. By applying this method to stock investment selection and demonstrating its effectiveness through comparative analysis, it is concluded that the improved approach is acceptable.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (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

A novel interval-valued fuzzy soft decision-making method based on CoCoSo and CRITIC for intelligent healthcare management evaluation

Xindong Peng et al.

Summary: The study focuses on addressing uncertainties in intelligent healthcare management through the use of interval-valued fuzzy soft sets. By introducing a new score function and utilizing the CRITIC method to calculate objective weights, a decision-making algorithm called CoCoSo is developed to effectively differentiate alternatives with high accuracy.

SOFT COMPUTING (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

QUALIFLEX method for evaluating human factors in construction project management with Pythagorean 2-tuple linguistic information

Tingting He et al.

Summary: The study proposes a method that combines Pythagorean 2-tuple linguistic fuzzy set and QUALIFLEX to evaluate the comprehensive quality of operation personnel in engineering projects, with an example provided to test its applicability and practicability.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2021)

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Article Computer Science, Artificial Intelligence

EDAS method for probabilistic linguistic multiple attribute group decision making and their application to green supplier selection

Guiwu Wei et al.

Summary: Environmental problems are increasingly serious in today's world. Low-carbon and circular economy have become a strategic choice for China's sustainable economic development. Managers should focus on environmental protection awareness and green image of enterprises to win in market competition.

SOFT COMPUTING (2021)

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Article Computer Science, Artificial Intelligence

Model-based evaluation for online shopping platform with probabilistic double hierarchy linguistic CODAS method

Fan Lei et al.

Summary: With the rapid development of Internet technology, the number of online shopping platforms has increased, but poor quality platforms bring troubles. Therefore, it is crucial to conduct a comprehensive evaluation of online shopping platforms.

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2021)

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Article Computer Science, Artificial Intelligence

Intuitionistic fuzzy MABAC method based on cumulative prospect theory for multiple attribute group decision making

Mengwei Zhao et al.

Summary: This article introduces a new method, CPT-IF-MABAC, based on cumulative prospect theory for multiattribute group decision making. The method combines attribute weight determination and alternative selection, providing strong operability and considering decision makers' attitudes. Through a case study and comparison with existing methods, the stability and availability of the method are demonstrated, with a focus on exploring more applications and effective solutions for MAGDM in the future.

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2021)

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Article Computer Science, Artificial Intelligence

Bidirectional projection method for multi-attribute group decision making under probabilistic uncertain linguistic environment

Yan He et al.

Summary: This paper introduces an integrated model based on information entropy and bidirectional projection method for addressing the multi-attribute group decision making problem in financial product selection, analyzing uncertain linguistic sets and probabilistic weights. The method is practical and effective, and can be applied to other decision-making areas.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2021)

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Article Computer Science, Artificial Intelligence

Some self-evaluation models of enterprise's credit based on some probabilistic double hierarchy linguistic aggregation operators

Fan Lei et al.

Summary: This paper proposes aggregation operators that can aggregate PDHLTS information and apply them to MAGDM problems, studying the properties of these operators. Through comparison with existing methods, the scientific and effective nature of the defined model is demonstrated.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2021)

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Article Economics

GREEN SUPPLIER SELECTION BASED ON CODAS METHOD IN PROBABILISTIC UNCERTAIN LINGUISTIC ENVIRONMENT

Cun Wei et al.

Summary: Probabilistic uncertain linguistic sets (PULTSs) are commonly used in Multi-Attribute Decision Making (MADM) or Multi-Attribute Group Decision Making (MAGDM). The CODAS method aims to select the optimal choice with the largest Euclidean and Hamming distances from the NIS. This paper presents the probabilistic uncertain linguistic CODAS (PUL-CODAS) method with sine entropy weight and validates it with a numerical example for green supplier selection.

TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY (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

A robust correlation coefficient for probabilistic dual hesitant fuzzy sets and its applications

Harish Garg et al.

NEURAL COMPUTING & APPLICATIONS (2020)

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Article Computer Science, Artificial Intelligence

Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation

Xindong Peng et al.

ARTIFICIAL INTELLIGENCE REVIEW (2020)

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Article Computer Science, Artificial Intelligence

MABAC method for multiple attribute group decision making with probabilistic uncertain linguistic information

Guiwu Wei et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2020)

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Article Computer Science, Artificial Intelligence

Green supplier selection with an uncertain probabilistic linguistic MABAC method

Guiwu Wei et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2020)

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Article Computer Science, Artificial Intelligence

QUALIFLEX method for MAGDM with probabilistic uncertain linguistic information and its application to green supplier selection

Fan Lei et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2020)

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Article Computer Science, Artificial Intelligence

Green supplier selection in steel industry with intuitionistic fuzzy Taxonomy method

Lu Xiao et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2020)

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Article Computer Science, Artificial Intelligence

Probabilistic linguistic QUALIFLEX approach with possibility degree comparison

Xiangqian Feng et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2019)

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Article Computer Science, Artificial Intelligence

ELECTRE-IDAT for design decision-making problems with interval data and target-based criteria

Ali Jahan et al.

SOFT COMPUTING (2019)

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Article Computer Science, Artificial Intelligence

A group TOPSIS-COPRAS methodology with Pythagorean fuzzy sets considering weights of experts for project critical path problem

Y. Dorfeshan et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2019)

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Article Engineering, Mechanical

ELECTRE II method to deal with probabilistic linguistic term sets and its application to edge computing

Mingwei Lin et al.

NONLINEAR DYNAMICS (2019)

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Article Mathematics, Applied

Cloud-based ERP system selection based on extended probabilistic linguistic MULTIMOORA method and Choquet integral operator

Shui-xia Chen et al.

COMPUTATIONAL & APPLIED MATHEMATICS (2019)

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Article Computer Science, Artificial Intelligence

TODIM method for multiple attribute decision making with 2-tuple linguistic pythagorean fuzzy information

Xiumei Deng et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2019)

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Article Environmental Sciences

Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility

Alireza Arabameri et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2019)

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Article Computer Science, Software Engineering

Complex Interval-valued Intuitionistic Fuzzy Sets and their Aggregation Operators

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FUNDAMENTA INFORMATICAE (2019)

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Article Environmental Sciences

Pythagorean 2-Tuple Linguistic Taxonomy Method for Supplier Selection in Medical Instrument Industries

Tingting He et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2019)

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Article Computer Science, Artificial Intelligence

EDAS Method for Multiple Attribute Group Decision Making with Probabilistic Uncertain Linguistic Information and Its Application to Green Supplier Selection

Yan He et al.

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS (2019)

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A Bipolar Fuzzy Extension of the MULTIMOORA Method

Dragisa Stanujkic et al.

INFORMATICA (2019)

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Extended Intuitionistic Fuzzy Sets Based on the Hesitant Fuzzy Membership and their Application in Decision Making with Risk Preference

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INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2018)

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Multi-attribute group decision-making under probabilistic uncertain linguistic environment

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JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2018)

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A novel method for heterogeneous multi-attribute group decision making with preference deviation

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The consensus of probabilistic uncertain linguistic preference relations and the application on the virtual reality industry

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Additive consistency-based approach for group decision making with hesitant 2-tuple linguistic preference relations

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2018)

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Multiple criteria decision making based on Bonferroni means with hesitant fuzzy linguistic information

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SOFT COMPUTING (2017)

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Supplier selection using ANP and ELECTRE II in interval 2-tuple linguistic environment

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INFORMATION SCIENCES (2017)

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A linear programming method for multiple criteria decision making with probabilistic linguistic information

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Taxonomy-based multiple attribute group decision making method with probabilistic uncertain linguistic information and its application in supplier selection

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