Models for comprehensive evaluating modeling of investment project risk with trapezoid fuzzy linguistic information
作者： Zhi-Chao Liu , Yong Ye
DOI: 10.3233/IFS-141284
关键词:
摘要: In this paper, the multiple attribute decision making problems with Trapezoid fuzzy linguistic information are investigated. Motivated by ideal of Bonferroni mean, aggregation techniques called trapezoid mean (TFLBM) operator for aggregating proposed. For situations where input arguments have different importance, weighted (TFLWBM) is defined. The procedure based on TFLWBM under environments developed. Finally, a practical example evaluating investment project risk given to verify developed approach.
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