A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
A method based on preference degrees for handling hybrid multiple attribute decision making problems
Expert Systems with Applications: An International Journal
Induced generalized intuitionistic fuzzy operators
Knowledge-Based Systems
Deriving interval weights from an interval multiplicative consistent fuzzy preference relation
Knowledge-Based Systems
Personnel selection based on computing with words and fuzzy MULTIMOORA
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Extended TODIM method for hybrid multiple attribute decision making problems
Knowledge-Based Systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
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An approach based on 2-tuple is presented to solve the hybrid multiple attribute decision making problem with weight information unknown. First, transformation rules between linguistic variables and triangular fuzzy numbers, and distance between 2-tuple linguistics are defined, then the transformation method between 2-tuple linguistic and different forms of indicator values is given. Besides, according to grey incidence minimum deviation theory of positive ideal solution, the weights of indicators are determined, and then alternatives are ranked by 2-tuple linguistic weighting arithmetic average values. Finally, an illustrative example is given to demonstrate the procedure of the method and to compare with TOPSIS method to show the effectiveness and advantages of the presented method.