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• W2943816158 abstract "A linguistic cubic hesitant variable (LCHV) is a hybrid form of linguistic values in group decision-making environments. It is composed of an interval language variable and multiple single-valued language variables given by different decision-makers (DMs). Due to the uncertainty and hesitation of DMs, the numbers of language variables in different LCHVs are unequal. Thus, the least common multiple number (LCMN) extension method was adopted. Based on the included angle and distance of two LCHVs, we presented two cosine similarity measures and developed a multiple attribute group decision-making (MAGDM) approach. An example of engineer selection was used to implement the proposed LCHV MAGDM method and demonstrate the simplicity and feasibility of the proposed method. The sensitivity analysis of weight changes for the two measures showed that the similarity measure based on distance was more stable than the similarity measure based on included angle in this application." @default.
• W2943816158 created "2019-05-09" @default.
• W2943816158 creator A5040469723 @default.
• W2943816158 creator A5069908852 @default.
• W2943816158 date "2019-05-05" @default.
• W2943816158 modified "2023-10-16" @default.
• W2943816158 title "Similarity Measures of Linguistic Cubic Hesitant Variables for Multiple Attribute Group Decision-Making" @default.
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• W2943816158 doi "https://doi.org/10.3390/info10050168" @default.
• W2943816158 hasPublicationYear "2019" @default.
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