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Download the fantastic book titled Fuzzy Applications in Industrial Engineering written by Cengiz Kahraman, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Fuzzy Applications in Industrial Engineering", which was released on 31 May 2007. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Fuzzy Applications in Industrial Engineering by Cengiz Kahraman PDF

After an introductory chapter explaining recent applications of fuzzy sets in IE, this book explores the seven major areas of IE to which fuzzy set theory can contribute: Control and Reliability, Engineering Economics and Investment Analysis, Group and Multi-criteria Decision-making, Human Factors Engineering and Ergonomics, Manufacturing Systems and Technology Management, Optimization Techniques, and Statistical Decision-making. Under these major areas, every chapter includes didactic numerical applications.


Detail About Fuzzy Applications in Industrial Engineering PDF

  • Author : Cengiz Kahraman
  • Publisher : Springer
  • Genre : Technology & Engineering
  • Total Pages : 598 pages
  • ISBN : 354033517X
  • PDF File Size : 9,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Fuzzy Applications in Industrial Engineering

Fuzzy Applications in Industrial Engineering
  • Publisher : Springer
  • File Size : 21,9 Mb
  • Release Date : 31 May 2007
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After an introductory chapter explaining recent applications of fuzzy sets in IE, this book explores the seven major areas of IE to which fuzzy set theory can contribute: Control and

Fuzzy Logic Foundations and Industrial Applications

Fuzzy Logic Foundations and Industrial Applications
  • Publisher : Springer Science & Business Media
  • File Size : 25,7 Mb
  • Release Date : 06 December 2012
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Fuzzy Logic Foundations and Industrial Applications is an organized edited collection of contributed chapters covering basic fuzzy logic theory, fuzzy linear programming, and applications. Special emphasis has been given to

Industrial Applications of Fuzzy Technology

Industrial Applications of Fuzzy Technology
  • Publisher : Springer Science & Business Media
  • File Size : 53,5 Mb
  • Release Date : 06 December 2012
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The application of fuzzy technology is widely known as a technological revolution. Shortly after it appeared, its value has rapidly become appreciated. It is absolutely indispensable for introducing the latest

Industrial Applications of Fuzzy Control

Industrial Applications of Fuzzy Control
  • Publisher : North Holland
  • File Size : 54,6 Mb
  • Release Date : 05 May 1985
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This volume focuses on the practical applications of fuzzy control, which is one of the most promising research fields in fuzzy engineering. Control engineers in many fields can benefit from

Computational Intelligence Systems in Industrial Engineering

Computational Intelligence Systems in Industrial Engineering
  • Publisher : Springer Science & Business Media
  • File Size : 28,7 Mb
  • Release Date : 05 November 2012
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Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of production and service

Fuzzy Logic Applications in Engineering Science

Fuzzy Logic Applications in Engineering Science
  • Publisher : Springer Science & Business Media
  • File Size : 30,7 Mb
  • Release Date : 17 January 2006
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Fuzzy logic is a relatively new concept in science applications. Hitherto, fuzzy logic has been a conceptual process applied in the field of risk management. Its potential applicability is much

Advanced Fuzzy Logic Technologies in Industrial Applications

Advanced Fuzzy Logic Technologies in Industrial Applications
  • Publisher : Springer Science & Business Media
  • File Size : 45,9 Mb
  • Release Date : 17 January 2007
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This book introduces a dynamic, on-line fuzzy inference system. In this system membership functions and control rules are not determined until the system is applied and each output of its