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
Fuzzy Sets and Systems
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
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
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
Fuzzy sets and decision analysis
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
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
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
On obtaining minimal variability OWA operator weights
Fuzzy Sets and Systems - Theme: Multicriteria decision
A minimax disparity approach for obtaining OWA operator weights
Information Sciences: an International Journal
On the fusion of multi-granularity linguistic label sets in group decision making
Computers and Industrial Engineering
Dealing with heterogeneous information in engineering evaluation processes
Information Sciences: an International Journal
Two new models for determining OWA operator weights
Computers and Industrial Engineering
Consensus-based intelligent group decision-making model for the selection of advanced technology
Decision Support Systems
A fuzzy MCDM approach for personnel selection
Expert Systems with Applications: An International Journal
Fuzzy multiple attributes group decision-making based on fuzzy induced OWA operators
Expert Systems with Applications: An International Journal
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Selection of advanced manufacturing technology is important for improving manufacturing system competitiveness. This study builds a group decision-making model using fuzzy multiple attributes analysis to evaluate the suitability of manufacturing technology. Since numerous attributes have been considered in evaluating the manufacturing technology suitability, most information available in this stage is subjective and imprecise, and fuzzy sets theory provides a mathematical framework for modeling imprecision and vagueness. The proposed approach involved developing a fusion method of fuzzy information, which was assessed using both linguistic and numerical scales. In addition, an interactive decision analysis is developed to make a consistent decision. When evaluating the suitability of manufacturing technology, it may be necessary to improve upon the technology, and naturally advanced manufacturing technology is seen as the best direction for improvement. The flexible manufacturing system adopted in the Taiwanese bicycle industry is used in this study to illustrate the computational process of the proposed method. The results of this study are more objective and unbiased, owing to being generated by a group of decision-makers.