Fuzzy logic : a practical approach

著者

書誌事項

Fuzzy logic : a practical approach

F. Martin McNeill, Ellen Thro

AP Professional, c1994

大学図書館所蔵 件 / 全11件

この図書・雑誌をさがす

注記

Includes bibliographical references and index

内容説明・目次

内容説明

This volume provides an overview of fuzzy logic and outlines how it can be applied to real-world problems in industry and business. Four main concepts of fuzziness are covered: fuzzy logic, the mathematical basis of fuzziness; fuzzy systems, used for estimation and process control; fuzzy decision-making, the language-oriented fuzzy system used in decision-making; and fuzzy cognitive maps, generalized fuzzy feedback used to improve and refine future decision-making. The book focuses on how these concepts can be put to use in a practical way, and includes illustrative programs on an accompanying disk to provide hands-on experience in fuzzy applications. Applications covered include, automobile systems, "smart houses", stock trading, power plant process control, workstation design, medicine and the NASA space station. Modelling scenarios range from ozone depletion to illegal immigrant control.

目次

  • Part 1 Introduction: history
  • why fuzzy
  • overview of fuzziness concepts
  • fuzzy sets
  • fuzzy systems
  • fuzzy cognitive maps
  • fuzzy parallel distributed processing
  • overview of uses. Part 2 Fuzzy logic - crisp and fuzzy: crisp logic, the traditional type
  • fuzzy logic - what is it
  • why it's more realistic
  • why it's a generalization of crisp logic. Part 3 Fuzzy systems on the job: consumer products - air conditioning, automobile systems, "smart houses", other control systems
  • industrial products - power plant, cement kiln, glass furnace
  • in commerce - stock trading
  • graphics adapter
  • products for the professions - medicine, education
  • research uses - NASA space station, other
  • military uses - projectile control, logistics, situation assessment. Part 4 Fuzzy decision-making: spouse selection
  • medical treatment selection
  • career selection
  • voting selection
  • new car selection
  • restaurant selection. Part 5 Using fuzzy cognitive maps: business growth scenario
  • ozone depletion scenario
  • drug war scenario
  • illegal immigrant scenario. Part 6 Demonstration programs.

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