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今天小編為大家帶來「精讀期刊論文【基於MARCOS的二維語言直覺多內容群決策方法】的2.2二維語言變量」。
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Today, the editor brings the "the 2.2 two-dimensional language variables of the journal paper 'MARCOs-based two-dimensional language intuitive multi-attribute group decision Method'".
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一、內容摘要（Content summary）
本期推文將從思維導圖、精讀內容、知識補充三個方面介紹精讀期刊論文【基於MARCOS的二維語言直覺多內容群決策方法】的2.2二維語言變量。
This issue of tweets will introduce the 2.2 two-dimensional language variables 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、思維導圖（Mind Mapping）
三、精讀內容（Detailed Reading Content）
在該部份，作者介紹了二維語言變量的定義，如下所示。
In this p, the author introduces the definition of two-dimensional language variables, as shown below.
二維語言變量是一種用於表示和處理具有雙重維度資訊的語言評價工具。在決策分析、多內容評價、模糊綜合評價等領域中，二維語言變量提供了一種更為豐富和細致的方式來表達評價者的意見和判斷。具體來說，二維語言變量由兩個部份組成：
Two-dimensional language variables are a language evaluation tool used to represent and process information with dual dimensions. In decision analysis, multi-attribute evaluation, fuzzy comprehensive evaluation and other fields, two-dimensional linguistic variables provide a richer and more detailed way to express the opinions and judgments of the evaluators. Specifically, a two-dimensional language variable consists of two parts:
二維語意資訊變量將上述兩個維度的資訊結合起來，就形成了一個二維語意資訊變量。這個變量同時包含了評價者對被評價物件的直接評價以及這個評價的可靠性程度。這樣的表示方式使得評價資訊更加完整和準確，有助於決策者在進行決策時綜合考慮多個方面的因素。
A two-dimensional semantic information variable is formed by combining the above two dimensions of information. This variable includes both the evaluator's direct evaluation of the object being evaluated and the degree of reliability of this evaluation. Such representation makes the evaluation information more complete and accurate, and helps decision makers to consider multiple factors comprehensively when making decisions.
四、知識補充——二維語言變量優缺點（Knowledge supplement -- advantages and disadvantages of two-dimensional language variables）
二維語言變量作為一種評價工具，在多個領域中具有獨特的優點和一定的局限性。二維語言變量在表達全面性、提高決策科學性和準確性等方面具有顯著優點，但也存在主觀性強、量化困難、計算復雜度增加以及依韋特定語境和文化背景等局限性。
As an evaluation tool, two-dimensional language variables have unique advantages and certain limitations in many fields. Two-dimensional language variables have significant advantages in comprehensiveness, scientificity and accuracy of decision making, but they also have limitations such as strong subjectivity, difficulty in quantification, increased computational complexity, and dependence on specific context and cultural background.
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參考資料：ChatGPT、百度百科
參考文獻：
許雷, 劉熠, 劉芳等. 基於MARCOS的二維語言直覺多內容群決策方法 [J]. 模糊系統與數學, 2022, 36(5): 128-141.
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