Group decision making with a fuzzy linguistic majority
Fuzzy Sets and Systems
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A sequential selection process in group decision making with a linguistic assessment approach
Information Sciences—Intelligent Systems: An International Journal
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
The ordered weighted averaging operators: theory and applications
The ordered weighted averaging operators: theory and applications
Information Sciences—Informatics and Computer Science: An International Journal
Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets
Journal of Computer and System Sciences
SAS/OWA: ordered weighted averaging in SAS optimization
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Fuzzy Optimization and Decision Making
Parametric aggregation in ordered weighted averaging
International Journal of Approximate Reasoning
Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice
Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice
A linguistic modeling of consensus in group decision making basedon OWA operators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Aggregation operators are crucial to decision-makers when they make decisions. The Ordered Weighted Aggregation (OWA) is the most common operator to aggregate the arguments that are the exact numerical values. However, the decision-makers may have vague knowledge about the decision information, and can@?t estimate their decision information with exact numerical values. Later, some new families of OWA operators appeared, e.g., a Linguistic Ordered Weighted Geometric Averaging (LOWGA) operator. Inspired by LOWGA, we propose an induced LOWGA operator, and then study some desirable properties of the operator. Based on the operator, we propose a decision-making method for coal mine safety evaluation. Safety is not only an eternal topic in coal mining but also is fundamental in the process of coal mine production, so it is important to establish a scientifically justified evaluation system and aggregate the decision information with the linguistic values. In this paper, the method is straightforward and has no loss of information, because we not only consider the weight of the factors affecting coal mine safety, but also take the ordered position of the factors in aggregation process. Both the theoretical analysis and the comparative results show that the method can better reflect the real situations in coal mine safety evaluation.