On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Applications and extensions of OWA aggregations
International Journal of Man-Machine Studies
A sequential selection process in group decision making with a linguistic assessment approach
Information Sciences—Intelligent Systems: An International Journal
Analytic properties of maximum entropy OWA operators
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy credibility relation method for multiple criteria decision-making problems
Information Sciences: an International Journal
A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
A modified OWA operator and its use in lossless DPCM image compression
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
An approach to group decision-making with uncertain preference ordinals
Computers and Industrial Engineering
A method based on stochastic dominance degrees for stochastic multiple criteria decision making
Computers and Industrial Engineering
State of the art literature review on performance measurement
Computers and Industrial Engineering
Solution of fuzzy integrated production and marketing planning based on extension principle
Computers and Industrial Engineering
Computers and Industrial Engineering
2-Tuple linguistic harmonic operators and their applications in group decision making
Knowledge-Based Systems
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
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Selection of advanced manufacturing technology in manufacturing system management is very important to determining manufacturing system competitiveness. This research develops a fuzzy multiple attribute decision-making applied in the group decision-making to improving advanced manufacturing technology selection process. Since numerous attributes have been considered in evaluating the manufacturing technology suitability, most information available in this stage is subjective, imprecise and vague, fuzzy sets theory provides a mathematical framework for modeling imprecision and vagueness. In the proposed approach, a new fusion method of fuzzy information is developed to managing information assessed in different linguistic scales (multi-granularity linguistic term sets) and numerical scales. The flexible manufacturing system adopted in the Taiwanese bicycle industry is employed in this study to demonstrate the computational process of the proposed method. Finally, sensitivity analysis can be performed to examine that the solution robustness.