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FlexTool(EFM): Evolutionary Fuzzy Modeling Tool
詳細功能:
  • Evolutionary Fuzzy Modeling ( EFM ) 對於非線性系統、不確定和不精確系統有不錯的表現。
  • EFM 結合了模糊系統和基因演算法的特色。從數學科學到醫學的最佳化工具。FlexTool ( EFM ) 是為把遺傳發展演算法應用於多樣化領域的一個環境的套裝軟體。
  • FlexTool ( EFM ) 可以存成 m-files 的型式。FlexTool 以模件化, 較有彈性,更容易使用, 開放的環境, 和可靠性為設計重點。FlexTool ( EFM )是以綜合 MATLAB模組的設計。
特性:
  • BUILDING BLOCKS: Upgrade from FS or GA to EFM. Upgrade from EFM to CI
  • Off-line learning: Sequencer, Complete System, Partial System, Use NN and EA techniques
  • Off line learning of :
    1. Complete System (FMF parameters & Rule Structure)
      • Only Fuzzy Membership Function parameters
      • Only Rule Structure Partial (learn some FMF parameters of partial rules)
    2. Complete System
      • with Fine Tuning FMF parameters
      • with Fine Tuning Partial
      • with Fine Tuning using Genetic / Evolutionary Algorithms
  • Niching module : to identify multiple solutions
  • Clustering module : Use separately or with Niching module
  • Optimization : Single and Multiple Objectives
  • Multiple Models : Use EFMCN algorithm
  • Linguistic mapper : for linguistic explanations
  • Fuzzy Systems : Expert System, Decision Maker, Evaluator, Predictor, Controller, TSK
  • High speed evolution : Proprietary Flex-GA algorithm
  • Three Tools in One : Modular, User Friendly, and System Transparent ENM, GA, FS
  • GUI : Easy to use, user friendly
  • Help : Online
  • Tutorial : Hands-on tutorial, application guidelines
  • Parameter Settings : Default parameter settings for the novice
  • General : Statistics, figures, and data collection
  • Cold Start : (start using previously selected parameters)
  • Warm Start : (start from previous generation)
  • On line application of : the evolved or known fuzzy model
  • User selectable numbers : rules, linguistic variables
  • Membership Function : Triangular, Gaussian, Trapezoidal, Bell, etc.
  • Implication : Lukasiewicz, Zadeh, Kleen, Mamdani, etc.
  • Aggregation : Duboi, Yager, Dombi, Sugeno, Hamacher
  • Defuzzification : COA, MOM, BADD, SLIDE
  • GA options : generational, steady state, micro, Flex-GA
  • Coding schemes : include binary, logarithmic (real)
  • Selection : tournament, roulette wheel, ranking
  • Crossover : include 1, 2, multiple point crossover