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標(biāo)題: Titlebook: Optimal Models and Methods with Fuzzy Quantities; Bing-Yuan Cao Book 20101st edition Springer-Verlag Berlin Heidelberg 2010 Analysis.Regre [打印本頁]

作者: 桌前不可入    時(shí)間: 2025-3-21 18:33
書目名稱Optimal Models and Methods with Fuzzy Quantities影響因子(影響力)




書目名稱Optimal Models and Methods with Fuzzy Quantities影響因子(影響力)學(xué)科排名




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書目名稱Optimal Models and Methods with Fuzzy Quantities網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Optimal Models and Methods with Fuzzy Quantities讀者反饋學(xué)科排名





作者: Sad570    時(shí)間: 2025-3-21 23:52
https://doi.org/10.1007/978-3-642-10712-2Analysis; Regression; artificial intelligence; automation; cognition; fuzzy; intelligence; knowledge; linear
作者: 梯田    時(shí)間: 2025-3-22 03:19
978-3-642-26248-7Springer-Verlag Berlin Heidelberg 2010
作者: 開玩笑    時(shí)間: 2025-3-22 07:30
Optimal Models and Methods with Fuzzy Quantities978-3-642-10712-2Series ISSN 1434-9922 Series E-ISSN 1860-0808
作者: encomiast    時(shí)間: 2025-3-22 12:39

作者: 桉樹    時(shí)間: 2025-3-22 15:06
Prepare Knowledge,zzy relation, it introduces a fuzzy operator related to this chapter, and it exhibits fuzzy function. At the same time, it describes fuzzy mathematics of three mainstream theorems—expansion principle, decomposition theorem and representation theorem. Finally, it inquires into five-type fuzzy numbers and its operations.
作者: 蛛絲    時(shí)間: 2025-3-22 19:05

作者: Autobiography    時(shí)間: 2025-3-22 21:55
Fuzzy Input-Output Model,Focus on expansion of a classical input-output model, this chapter introduces a fuzzy input-output model first, then inquires an input-output model with .-fuzzy data and its application, and presents an input-output model with triangle fuzzy data finally.
作者: Inkling    時(shí)間: 2025-3-23 02:02
Fuzzy Cluster Analysis and Fuzzy Recognition,A fuzzy cluster analysis as well as fuzzy recognition is introduced in this chapter. First, fuzzy cluster analysis with . -fuzzy data is developed, and fuzzy recognition with .-fuzzy data is exhibited secondly.
作者: 輕浮女    時(shí)間: 2025-3-23 09:36
Prepare Knowledge,zzy relation, it introduces a fuzzy operator related to this chapter, and it exhibits fuzzy function. At the same time, it describes fuzzy mathematics of three mainstream theorems—expansion principle, decomposition theorem and representation theorem. Finally, it inquires into five-type fuzzy numbers
作者: patriarch    時(shí)間: 2025-3-23 12:18

作者: Callus    時(shí)間: 2025-3-23 17:04
Regression and Self-regression Models with Fuzzy Variables,90a], and, again in 1992, a linearizable non-linear regression model with .-fuzzy variables [Cao95c] was developed. The application appears vastly extensive because of much wider information in models..1) Make use of a fuzzy distance, follow the classic regression analytical method with a beeline( o
作者: 疲憊的老馬    時(shí)間: 2025-3-23 18:19

作者: 詢問    時(shí)間: 2025-3-24 00:38
Fuzzy Geometric Programming,th a bottom, but without a cover, whose bottom and two sides are made from . of a special flexible material with negligible cost. The material for the other two sides cost more than A yuan/. (yuan means RMB), and transportation of the case costs about . yuan. What is the cost at least to ship one ca
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作者: 反應(yīng)    時(shí)間: 2025-3-24 13:51

作者: 剝皮    時(shí)間: 2025-3-24 15:56
Interval and Fuzzy Differential Equations,ation. At the same time, we research Solow economical increase model, and Duoma debt models influencing very greatly in economics, by applying a fuzzy set-value mapping method to extension of the differential equation.
作者: Engulf    時(shí)間: 2025-3-24 20:07
Book 20101st editionession Models with Fuzzy Variables,?Fuzzy Input/output Model, Fuzzy Cluster Analysis and Fuzzy Recognition, ?Fuzzy Linear Programming, Fuzzy Geometric Programming,?Fuzzy Relative Equation and Its Optimizing, Interval and Fuzzy Differential Equations and Interval and Fuzzy Functional and Their Variat
作者: 老人病學(xué)    時(shí)間: 2025-3-25 01:09
Regression and Self-regression Models with Fuzzy Variables,terval estimation, a kind of analytical methods become much useful..This chapter introduces T -fuzzy variables, (·, .) fuzzy variables and flat (or trapezoidal) fuzzy variables into regression models, and builds more practical kinds of way to the model determination. Meanwhile, their application is discussed.
作者: 摘要    時(shí)間: 2025-3-25 05:39

作者: 祝賀    時(shí)間: 2025-3-25 10:03

作者: addition    時(shí)間: 2025-3-25 12:55
Regression and Self-regression Models with Fuzzy Coefficients, a regression and self-regression model containing (·, .) fuzzy coefficients, flat fuzzy coefficients as well as triangular fuzzy coefficients, concludes the regression analysis as a linear programming.
作者: Amorous    時(shí)間: 2025-3-25 18:39
Fuzzy Geometric Programming,ao87a]..This chapter first introduces a progress in fuzzy geometric programming, and puts forward problems of Lagrange and antinomy in it. Besides, it studies the geometric programming with fuzzy coefficients and fuzzy variables. Finally, it discusses its expansion.
作者: Interregnum    時(shí)間: 2025-3-25 20:49
Interval and Fuzzy Functional and their Variation,ion 4, Convex fuzzy-valued function and functional.Section 5, Variation of interval and fuzzy-valued functional condition extremum.Section 6, Variation of condition extremum on functional with fuzzy functions
作者: 平庸的人或物    時(shí)間: 2025-3-26 02:39
1434-9922 odels with Fuzzy Coefficients; Regression and Self-regression Models with Fuzzy Variables,?Fuzzy Input/output Model, Fuzzy Cluster Analysis and Fuzzy Recognition, ?Fuzzy Linear Programming, Fuzzy Geometric Programming,?Fuzzy Relative Equation and Its Optimizing, Interval and Fuzzy Differential Equat
作者: Cardioplegia    時(shí)間: 2025-3-26 06:38

作者: Expiration    時(shí)間: 2025-3-26 12:27
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