'Fuzzy rule' presentation slideshows

Simulated Evolution Algorithm for Multiobjective VLSI Netlist Bi-Partitioning

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Chapter 8 Fuzzy Systems Implementations

Chapter 8 Fuzzy Systems Implementations. Introduction. We consider fuzzy rule systems and evolutionary fuzzy rule systems. We first look at implementation issues, then describe the implementations. Code provided in class is to be used as shareware. Implementation Issues.

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Fuzzy Inference and Reasoning

Fuzzy Inference and Reasoning. Proposition. Logic variable. Basic connectives for logic variables. (1) Negation (2) Conjunction. Basic connectives for logic variables. (3) Disjunction (4) Implication. Logical function. Logic Formula . Tautology. Tautology. Predicate logic.

891 views • 62 slides

Fuzzy Adaptive Internal Model Control

Fuzzy Adaptive Internal Model Control. ?? : ??? M96720062. The control scheme consists of two parts:. a fuzzy dynamic model : serves as the internal model of the FAIMC is identified online by using the input and output measurement of the plant.

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CS621: Introduction to Artificial Intelligence

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A Simple Method to Extract Fuzzy Rules by Measure of Fuzziness

A Simple Method to Extract Fuzzy Rules by Measure of Fuzziness. Jieh-Ren Chang Nai-Jian Wang. Abstract. Use a variable fuzzy-neural network structure to implement the fuzzy rules system. First, we extract fuzzy rules from different class region which was named as activation hyper-box.

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Hedge

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Fuzzy Rule Interpolation for Multidimensional Input Spaces With Applications: A Case Study

Fuzzy Rule Interpolation for Multidimensional Input Spaces With Applications: A Case Study. IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL 13, NO. 6, DECEMBER Kok Wai Wong, Domonkos Tikk, Tamas D. Gedeon and Laszlo T. Koczy. Speaker: Yuan Kai Ko. Outline. 1.Introduction

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2004 ?? ?????? ?? ???? ?? ????? 200 4 ? 10 ? 21 ?. ?? ??? ?? ???? ?? ?? ?? ?????. ??? , ??????? ?? ? ????? ??? , ??????? ?? ? ????? ??? , ????? ????? ??? , ??????? ?? ? ?????. Outline. Introduction Proposed Method Numerical Example Conclusions. Introduction.

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2004 ?? ????????? ?? ????? ?????, ?? 200 4 ? 4? 1 0 ?. ?? ?? ??? ??? ????? ?? ???? ????. ??? , ??????? ?? ? ????? ??? , ??????? ?? ? ????? ??? , ????? ????? ??? , ??????? ?? ? ?????. Outline. Introduction Proposed Method Numerical Example Conclusions. Introduction.

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CS621: Introduction to Artificial Intelligence

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Presenter : Kung, Chien-Hao Authors : Eghbal G. Mansoori 2011,IEEE

FRBC: A Fuzzy Rule-Based Clustering Algorithm. Presenter : Kung, Chien-Hao Authors : Eghbal G. Mansoori 2011,IEEE. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments. Motivation.

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Buyer Agent Decision Process Based on Automatic Fuzzy Rules Generation Methods

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Semi-active Fuzzy control for Seismic Response Reduction Using MR Damper

2002 ?? ?????? ?????. Semi-active Fuzzy control for Seismic Response Reduction Using MR Damper. K-M Choi 1) , H-J Jung 1) J-H Lee 2) and I-W Lee 1) 1) Department of Civil Engineering, KAIST 2) Department of Civil Engineering, Kyungil Univ. Objective. ? Semi-active control strategy

85 views • 8 slides