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Today, the editor brings you the 4.3 two-dimensional language intuitionistic fuzzy generalized weighted arithmetic mean operator of the intensive reading journal paper "Two-dimensional Language Intuition Multi-attribute Group Decision Making Method Based on MARCOS".
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Dear, this is the LearingYard Academy!
Today, the editor brings the "the 4.3 two-dimensional language intuitionistic fuzzy generalized weighted arithmetic average operator of the journal paper 'MARCOs-based two-dimensional language intuitive multi-attribute group decision Method'".
Welcome to visit!
一、内容摘要（Content summary）
In this issue, we will introduce the two-dimensional language intuitionistic fuzzy generalized weighted arithmetic mean operator of the intensive reading journal paper "Two-dimensional Language Intuition Multi-attribute Group Decision Making Method Based on MARCOS" from three aspects: mind map, intensive reading content, and knowledge supplementation.
This issue of tweets will introduce the two-dimensional language intuitionistic fuzzy generalized weighted arithmetic average operator of the intensive reading journal paper "MARCOs-based two-dimensional language intuitive multi-attribute group decision Method" from three aspects: mind mapping, intensive reading content, and knowledge supplement.
二、思维导图（Mind Mapping）
三、精读内容（Detailed Reading Content）
IN THIS SECTION, THE AUTHORS FIRST ELABORATE ON THE DEFINITION OF A TWO-DIMENSIONAL LINGUISTIC INTUITIONISTIC FUZZY GENERALIZED WEIGHTED ARITHMETIC MEAN OPERATOR (2-DLIFGWA). The operator combines the two-dimensional linguistic intuitionistic fuzzy weighted arithmetic mean operator with the two-dimensional linguistic intuitionistic fuzzy weighted geometric mean operator to form a new form.
In this part, the author first elaborates the definition of the intuitionistic fuzzy generalized weighted arithmetic mean operator (2-DLIFGWA) in two-dimensional language. The operator combines the intuitionistic fuzzy weighted arithmetic average operator with the intuitionistic fuzzy weighted geometric average operator to form a new form.
After the two-dimensional language information is assembled by the 2-DLIFGWA operator, the two-dimensional language intuition variable (2-DLIFV) of the comprehensive evaluation information can be obtained by mathematical induction, as follows:
After the 2-DLIFGWA operator aggregates the two-dimensional language information, the two-dimensional language intuitive variable (2-DLIFV) of the comprehensive evaluation information can be obtained by mathematical induction, as follows:
四、知识补充——数学归纳法（Knowledge supplement - mathematical induction）
Mathematical induction is an important mathematical proof method that is widely used in mathematics and computer science. It is mainly used to prove that a proposition is true for all natural numbers. The basic principles, steps, and some typical applications of mathematical induction are detailed below.
Mathematical induction is an important method of mathematical proof, widely used in mathematics and computer science. It is mainly used to prove that a statement is true for all natural numbers. The basic principles, steps and some typical applications of mathematical induction are described in detail below.
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If you have a unique idea about the article,
please leave us a message,
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参考资料：ChatGPT、百度百科
Bibliography:
Xu Lei, Liu Yi, Liu Fang, et al. Two-dimensional Language Intuition Multi-attribute Group Decision Making Method Based on MARCOS [J]. Fuzzy Systems and Mathematical Sciences, 2022, 36(5): 128-141.
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