Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
Evaluating new product development performance by fuzzy linguistic computing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A fuzzy MCDM approach for personnel selection
Expert Systems with Applications: An International Journal
Performance measures of agility for mobile robots
PerMIS '09 Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems
Enhancing enterprise agility by deploying agile drivers, capabilities and providers
Information Sciences: an International Journal
Capacity investment decision in co-opetitive network by information sharing
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
Extended value network modelling and simulation for mass customization implementation
Journal of Intelligent Manufacturing
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 12.10 |
Mass customization (MC) relates to the ability to provide individually designed products and services to every customer through high process flexibility and integration. For responding to the mass customization trend it is necessary to develop an agility-based manufacturing system to catch on the traits involved in MC. An MC manufacturing agility evaluation approach based on concepts of TOPSIS is proposed through analyzing the agility of organization management, product design, processing manufacture, partnership formation capability and integration of information system. The 2-tuple fuzzy linguistic computing manner to transform the heterogeneous information assessed by multiple experts into an identical decision domain is inherent in the proposed method. It is expected to aggregate experts' heterogeneous information, and offer sufficient and conclusive information for evaluating the agile manufacturing alternatives. And then a suitable agile system for implementing MC can be established.