4 edition of **Fuzzy Logic And Its Application to Technology And Management** found in the catalog.

- 111 Want to read
- 33 Currently reading

Published
**January 15, 2007**
by Narosa Pub House
.

Written in English

- Fuzzy set theory,
- Management - General,
- Business & Economics,
- Data mining,
- Fuzzy logic,
- Information technology,
- Mathematical models,
- Business/Economics

**Edition Notes**

Contributions | Debjani Chakraborty (Editor), S. Nanda (Editor), D. Dutta Majumder (Editor) |

The Physical Object | |
---|---|

Format | Hardcover |

Number of Pages | 287 |

ID Numbers | |

Open Library | OL13145071M |

ISBN 10 | 8173197334 |

ISBN 10 | 9788173197338 |

Fuzzy Logic Journals Fuzzy Sets and Systems from Elsevier. View articles. Official Publication of the International Fuzzy Systems Association (IFSA). Since its launching in , the journal Fuzzy Sets and Systems has been devoted to the international advancement of the . This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity.

Fuzzy logic was conceived as a better method for sorting and handling data but has proven to be an excellent choice for many control system applications. Keyword: fuzzy logic, control system, subset, application, technology. 1. INTRODUCTION There are many misconceptions about fuzzy logic. To begin with, fuzzy logic is not by: 3. Jana D, Pramanik S, Sahoo P and Mukherjee A () Interval type-2 fuzzy logic and its application to occupational safety risk performance in industries, Soft Computing - A Fusion of Foundations, Methodologies and Applications, , (), Online publication date: 1-Jan

This book is about fuzzy logic control and its applications in managing, controlling and operating electrical energy systems. It provides a comprehensive overview of fuzzy logic concepts and techniques required for designing fuzzy logic controllers, and then discusses several applications to control and management in energy systems. "Fuzzy logic is a technique for representing and manipulating uncertain information. In the more traditional propositional logic, each fact or proposition, such as 'it will rain tomorrow,' must be.

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However, the application of fuzzy logic bringing technology and management together, is still a dark continent yet to be discovered and till date, no such attempt has been made. Using the state-of-the art and especially in the language of technologists and management researchers, the proposed book is an excellent blend of the fuzzy mathematics.

Book, Internet Resource: All Authors / Contributors: Debjani Chakroborty; Application of Fuzzy Logic in Technology & Management - Logic, Mathematics and Reality: A Cybernetics and Systems ApproachSensor Selection in a Connectionist FrameworkPROMETHEE: A Decision Support Tool for e-businessFuzzy Multiobjective Decision Making in an e.

17 rows The capability of Fuzzy Logic in the development of emerging technologies is introduced in Cited by: 9. Fuzzy Logic and Its Applications to Technology and Management by Chakraborty A copy that has been read, but remains in clean condition.

All pages are intact, and the cover is intact. The spine may show signs of wear. Pages can include limited notes and highlighting, and. This book gives you an excellent introduction to Fuzzy Logic Concepts, Reasoning and Applications.

I am a Practitioner of Industrial Process Control, and was looking for a book to learn about Fuzzy Logic. The book did it in a simple way, with many examples and explanation for every topic to make even easier my introduction to this by: Probability of a Fuzzy Event as a Fuzzy Set Possibility vs.

Probability Part II: Applications of Fuzzy Set Theory 9 Fuzzy Logic and Approximate Reasoning Linguistic Variables Fuzzy Logic Classical Logics Revisited Linguistic Truth Tables Approximate and Plausible Reasoning 9.

Fuzzy Logic with Engineering Applications by Timothy J Ross without a doubt. First few chapters are lengthy and theoretical but I think they set the right mindset to understand the subject in depth.

What is more important than technicalities is. Fuzzy Logic in Management demonstrates that difficult problems and changes in the management environment can be more easily handled by bringing fuzzy logic into the practice of management. This explicit theme is developed through the book as follows: Chapter 1, "Management and Intelligent Support Technologies", is a short survey of management leadership and what can be gained from support.

Fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1 both inclusive. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false.

By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1. This book introduces new concepts and theories of Fuzzy Logic Control for the application and development of robotics and intelligent machines.

The book consists of nineteen chapters categorized into 1) Robotics and Electrical Machines 2) Intelligent Control Systems with various applications, and 3) New Fuzzy Logic Concepts and Theories.

The intended readers of this book are engineers Cited by: Fuzzy logic are used in Natural language processing and various intensive applications in Artificial Intelligence. Fuzzy logic are extensively used in modern control systems such as expert systems.

Fuzzy Logic is used with Neural Networks as it mimics how /5. Lotfi A. Zadeh, a professor of UC Berkeley in California, soon to be known as the founder of fuzzy logic observed that conventional computer logic was incapable of manipulating data representing subjective or vague human ideas such as "an attractive person".

Fuzzy logic, hence was designed to allow computers to determine the distinctions among. Since its inception, the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of fuzzy technology can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management.

The archetypal application of fuzzy logic in artificial intelligence is a fuzzy rules system. This knowledge-based system aims to emulate the reasoning of human experts or to reason in a domain. The anthology of 15 articles introduces fuzzy logic control to readers without previous background in it, then provides detailed examples of its application in Japan, the US, and Europe in such areas as sensors, motors, robotics, autonomous vehicles, process control, and consumer products.

Also reviews the relevant software s: Reza Langari, John Yen. A Decision Support System Building Tool with Fuzzy Logic System Configuration This section gives an overview of the building tool for IDSS that administers the facilities discussed in 2.

The system's configuration is shown in Figure 3, and the system's components are explained below: (1) Fuzzy knowledge base This stores financial by: 1. A major real-life application was Sendai’s fuzzy logic control system which began to operate in and was and is a striking success. In the realm of medical instrumentation, a notable real-life application is Omron’s fuzzy- logic-based and widely used blood pressure by: This system stores technical analysis know-how in the fuzzy knowledge base, provides various types of information, and helps decision makers make more informed decisions and acquire new knowledge.

The effectiveness of knowledge acquisition using this tool has been demonstrated through its application. The fundamentals of Fuzzy Logic are discussed in detail, and illustrated with various solved examples. The book also deals with applications of Fuzzy Logic, to help readers more fully understand the concepts involved.

Solutions to the problems are programmed using MATLABwith simulated results. The MATLAB Fuzzy Logic toolbox is provided. The book updates the research agenda (which has witnessed profound and startling advances since its inception some 30 years ago) with chapters on possibility theory, fuzzy logic and approximate Author: Hans-Jürgen Zimmermann.

Since its inception, the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of fuzzy technology can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management Brand: Springer Netherlands.The major success of fuzzy logic in the field of remote control opened the door to its application in many other fields, including finance.

However, there has not been an updated and comprehensive literature review on the uses of fuzzy logic in the financial field.Leading researchers examine the usefulness and limitations of fuzzy logic for the psychology of concepts. The classical view of concepts in psychology was challenged in the s when experimental evidence showed that concept categories are graded and thus cannot be represented adequately by classical sets.

The possibility of using fuzzy set theory and fuzzy logic for representing and dealing.