A Pearson-Like Synthetic Correlation-Based TOPSIS Multiple Attribute Decision-Making Approach for Probabilistic Linguistic Term Information

ZENG Shouzhen, LUO Dandan

Journal of Systems Science and Mathematical Sciences ›› 2021, Vol. 41 ›› Issue (1) : 126-143.

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中国科学院数学与系统科学研究院期刊网
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Journal of Systems Science and Mathematical Sciences ›› 2021, Vol. 41 ›› Issue (1) : 126-143. DOI: 10.12341/jssms14100

A Pearson-Like Synthetic Correlation-Based TOPSIS Multiple Attribute Decision-Making Approach for Probabilistic Linguistic Term Information

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{{article.zuoZheEn_L}}. {{article.title_en}}. Journal of Systems Science and Mathematical Sciences, 2021, 41(1): 126-143 https://doi.org/10.12341/jssms14100

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