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fuzzy programming in Chinese

Pronunciation:
How to pronounce "fuzzy programming""fuzzy programming" in a sentence

Translationmobile phoneMobile

  • 模糊規(guī)劃

Examples

  • Qfd system parameters identification based on fuzzy program
    系統(tǒng)參數(shù)確定方法
  • Fuzzy programming method of security portfolio
    證券組合投資的模糊規(guī)劃方法
  • New methods for fuzzy programming problems based on order structure
    基于序結(jié)構(gòu)的模糊規(guī)劃問題求解方法
  • Application of fuzzy programming to optimization of bench blasting parameters of surface mines
    模糊規(guī)劃原理與露天礦臺階爆破參數(shù)優(yōu)化
  • Chapter 3 of this thesis discusses schedule management in detail , analyses some methods to make schedule plan , for example , gantt , cmp , and pert , points out their advantages and disadvantages . then the thesis puts forward a fuzzy program evaluation and review technique
    在第三章中，就項目管理中的進(jìn)度管理進(jìn)行了詳細(xì)的討論，分析了進(jìn)度計劃的幾種主要方法(甘特圖法、關(guān)鍵路徑法、計劃評審技術(shù)等) ，并指出了這幾種方法的優(yōu)缺點。
  • This paper studies the ways to comfotmate the models of portfolio investment combi - nation , and demonstration analysis , divided into three parts . the first part : exordium . mainly introduces the risk of portfolio investment . the second part : brings forward several kinds of investment combination model , including the traditional markowitz model , multiobjective programming and fuzzy programming . the third part : goes along with the demonstration analysis of each kind of model basted on the shanghai stock market , at the same time , appraises the superiority and inferiority with the single - parameter measurement of tangible achievement . before then , most papers discussed the static models , this paper extends the static models to the dynamic models by the means of weighted moving average and bayes estimation
    本文研究了證券投資組合模型的構(gòu)造方法及其實證分析，分三部分進(jìn)行：第一部分，緒論，主要介紹證券投資的風(fēng)險；第二部分，提出幾種投資組合模型，在傳統(tǒng)的馬柯維茨模型及線性規(guī)劃的基礎(chǔ)上，本文另外提出多目標(biāo)規(guī)劃的其它解法，并把前人模糊規(guī)劃的理論應(yīng)用到具體的建模中；第三部分，根據(jù)我國的滬市行情，對各種模型進(jìn)行實證分析，并利用實績的單參數(shù)度量對各種模型的優(yōu)劣性進(jìn)行評價。
  • Secondly , we give the mathematic fuzzy environment and satisfactory decision - making . then make a summary of the method how to resolve a satisfying optimization problem , finally , we research a kind of method based on fuzzy programming to solve a satisfied optimization problem with some constrains and this method has been verified by the simulation results
    在此基礎(chǔ)上對一類模糊不確定環(huán)境中存在生產(chǎn)約束時的滿意優(yōu)化控制問題，在預(yù)測控制的框架下把具有模糊邊界約束的有限預(yù)測時域的優(yōu)化問題轉(zhuǎn)化為等價的確定性規(guī)劃問題，并且進(jìn)行了仿真，仿真結(jié)果表明了該算法是有效的。
  • The conclusion is : multiobjective programming and fuzzy programming are superior to the traditional markowitz model , compart : s the dynamic models with the static models , the former can reponse more soon to the wave of the stock price , so we can adjust period by period based on the dynamic models
    本文得出的結(jié)論是：多目標(biāo)規(guī)劃及模糊規(guī)劃等方法優(yōu)于傳統(tǒng)的馬柯維茨模型，在實證檢驗中表現(xiàn)出更高的投資效率，動態(tài)的模型與靜態(tài)的模型相比，能更快地對股價波動作出反應(yīng)，可進(jìn)行逐期調(diào)整。
  • Traditional uncertain programming mainly contains stochastic programming and fuzzy programming , which have many applications in manufacture , economy and management etc . especially , the theory of stochastic or fuzzy linear programming is more complete , so it has more applications than stochastic or fuzzy nonlinear programming
    傳統(tǒng)的不確定規(guī)劃主要分為兩大類：隨機規(guī)劃和模糊規(guī)劃，并且在生產(chǎn)、經(jīng)濟及管理等諸多方面已有廣泛的應(yīng)用，特別是隨機線性規(guī)劃和模糊線性規(guī)劃理論較為完善，應(yīng)用更加廣泛。

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