C-ILIFWPA Operator and Application to Multi-Attribute Decision Making

This paper firstly analyzes the language fuzzy power weighted average operator based on the theory of language fuzzy sets and power average operators, and analyzes the drawbacks of LIFWPA operators under the influence of non-membership degree. Secondly proposes an improved continuous interval linguistic fuzzy weighted average operator according to the continuous interval Power average operator and the interval language ambiguity operation rules, and proves that the improved C-ILIFWPA operator is also idempotent, exchange invariant and boundedness. Then presents a new multi-attribute decision-making method using the C-ILIFWPA operator, Hamming distance and other related theories. Finally this paper proves the multi-attribute decision-making method is effectiveness and feasibility through examples and comparative analysis.