An optimization model for rescuer assignments under an uncertain environment by using Dempster–Shafer theory
Emergency decision making and disposal are significant challenges faced by the
international community. To minimize the emergency casualties, and reduce probable …
international community. To minimize the emergency casualties, and reduce probable …
A survey of consensus in group decision making under the CWW environment
Developing an evaluation matrix and selecting the optimal alternative are two crucial stages
in any decision-making process. The development of an evaluation matrix involves two key …
in any decision-making process. The development of an evaluation matrix involves two key …
Linguistic Z-number preference relation for group decision making and its application in digital transformation assessment of SMEs
J Chai, Y Su, S Lu - Expert Systems with Applications, 2023 - Elsevier
In the new phase of technological revolution and industrial transformation, the digital
transformation (DT) of small and medium-sized enterprises (SMEs) has become a critical …
transformation (DT) of small and medium-sized enterprises (SMEs) has become a critical …
Social network trust relationship environment based advanced ovarian cancer treatment decision-making model: An approach based on linguistic information with …
Advanced ovarian cancer is the deadliest gynecologic cancer in World. The survival rate is
not significant, and it depends on how well cancer responds to treatment. Generally, the …
not significant, and it depends on how well cancer responds to treatment. Generally, the …
An integrated implicit user preference mining approach for uncertain conceptual design decision-making: A pipeline inspection trolley design case study
User preference mining is one of the most crucial activities in the conceptual design process,
aiming to gain customer attentions at the early design stage. Since user preference is …
aiming to gain customer attentions at the early design stage. Since user preference is …
Managing multi-granular probabilistic linguistic information in large-scale group decision making: A personalized individual semantics-based consensus model
Y Liu, Y Yang, L Sun, A Huang - Expert Systems with Applications, 2023 - Elsevier
The multi-granular probabilistic linguistic modeling allows decision makers to express
cognitive information using multiple linguistic term sets based on their preferences …
cognitive information using multiple linguistic term sets based on their preferences …
From numerical to heterogeneous linguistic best–worst method: Impacts of personalized individual semantics on consistency and consensus
This paper investigates the impacts of personalized individual semantics (PIS) on
consistency and consensus in Best–Worst method (BWM) with heterogeneous linguistic …
consistency and consensus in Best–Worst method (BWM) with heterogeneous linguistic …
A concept lattice-based expert opinion aggregation method for multi-attribute group decision-making with linguistic information
K Pang, L Martínez, N Li, J Liu, L Zou, M Lu - Expert Systems with …, 2024 - Elsevier
During the multi-attribute group decision-making (MAGDM) processing, the individuals often
hold different opinions about the alternatives. It is necessary to aggregate the different …
hold different opinions about the alternatives. It is necessary to aggregate the different …
Trust and personalized individual semantics based fusion method for heterogeneous multi-criteria group decision making and application to live streaming commerce
SP Wan, J Yan, JY Dong - Expert Systems with Applications, 2022 - Elsevier
This paper develops a new trust and personalized individual semantics (PISs) based fusion
method for heterogeneous multi-criteria group decision making (HMCGDM) and applies to …
method for heterogeneous multi-criteria group decision making (HMCGDM) and applies to …
Linguistic information-based granular computing based on a tournament selection operator-guided PSO for supporting multi-attribute group decision-making with …
This study investigates linguistic information-based granular computing for supporting multi-
attribute group decision-making where relative importance of experts/attributes, and …
attribute group decision-making where relative importance of experts/attributes, and …