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preference relation in Chinese

Pronunciation:
How to pronounce "preference relation""preference relation" in a sentence

Translationmobile phoneMobile

  • 選擇關(guān)系
  • 優(yōu)先關(guān)系
  • 優(yōu)選關(guān)系

Examples

  • Information aggregation based on fuzzy preference relations
    模糊性偏序關(guān)系上的信息融合
  • Duality of preference relations
    偏好關(guān)系的對偶性
  • Interval multiple attribute decision making method with preference relation on alternatives
    帶有方案偏好關(guān)系的區(qū)間型多屬性決策方法
  • Thirdly , based on our definition of fuzzy preference structure without incomparability , we find out relationships between transitivity properties of large preference relation and strict preference and indifference relation with ^ - transformation of lukasiewicz t - norm . for example , we point out that the w - transitivity of large preference relation can derive the same transitivity of strict preference and indifference relation
    在作者所給出的模糊偏好結(jié)構(gòu)定義的基礎(chǔ)上，在無不可比關(guān)系的條件下以及l(fā)ukasiewicz ，模的尹變換嘰的意義下，討論了大偏好、嚴格偏好及無區(qū)別關(guān)系之間的傳遞性性質(zhì)的聯(lián)系，例如我們指出了大偏好關(guān)系的嘰傳遞性可導出嚴格偏好以及無區(qū)別關(guān)系的嘰傳遞性等。
  • We investigate the decision - making problem with a finite set of alternatives , in which the decision information takes the form of a fuzzy preference relation . we develop a simple and practical approach to obtaining the priority vector of a fuzzy preference relation . the prominent characteristic of the developed approach is that the priority vector can generally be obtained by a simple formula , which is derived from a quadratic programming model . we utilize the consistency ratio to check the consistency of fuzzy preference relation . if the fuzzy preference relation is of unacceptable consistency , then we can return it to the decision maker to reconsider structuring a new fuzzy preference relation until the fuzzy preference relation with acceptable consistency is obtained . we finally illustrate the priority approach by two numerical examples . the numerical results show that the developed approach is straightforward , effective , and can easily be performed on a computer
    研究了決策信息以模糊偏好關(guān)系給出的有限方案決策問題,提出了一種簡潔且實用的模糊偏好關(guān)系排序方法.該方法首先建立一個二次規(guī)劃模型,然后基于該模型推導出求解模糊偏好關(guān)系排序向量的一個簡潔公式.基于獲得的排序向量,利用一致性比例對模糊偏好關(guān)系進行一致性檢驗.對于一致性較差的模糊偏好關(guān)系,則需反饋給決策者重新進行判斷,直至得到一個一致性可接受的模糊偏好關(guān)系為止.最后,利用2個算例對該方法進行分析和說明,數(shù)值結(jié)果表明該方法簡潔、有效,且易于在計算機上操作
  • In this research , using the theory of t - norm , t - conorm and fuzzy relations , we systematically discuss transitivity - related properties of operations of fuzzy relations , relationships between t - transitivity , negative s - transitivity , t - s - semitransitivity and t - s - ferrers properties , relationships of transitivity - related properties between the large preference relation and strict preference , indifference relations , and transitivity of the limit of a sequence of fuzzy relations with certain properties
    本文利用模糊關(guān)系理論和t模及t余模理論，對模糊關(guān)系運算的傳遞性， t傳遞、 s負傳遞、 t - s半傳遞及t - sferrers關(guān)系之間的聯(lián)系，特殊模糊偏好結(jié)構(gòu)中所涉及到的傳遞性以及模糊關(guān)系序列極限的傳遞性進行了系統(tǒng)全面地討論。

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