Introduction to Fuzzy Reliability:
Introduction to Fuzzy Reliability treats fuzzy methodology in hardware reliability and software reliability in a relatively systematic manner. The contents of this book are organized as follows. Chapter 1 places reliability engineering in the scope of a broader area, i.e. system failure engineering....
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
1996
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Schriftenreihe: | The Kluwer International Series in Engineering and Computer Science
363 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | Introduction to Fuzzy Reliability treats fuzzy methodology in hardware reliability and software reliability in a relatively systematic manner. The contents of this book are organized as follows. Chapter 1 places reliability engineering in the scope of a broader area, i.e. system failure engineering. Readers will find that although this book is confined to hardware and software reliability, it may be useful for other aspects of system failure engineering, like maintenance and quality control. Chapter 2 contains the elementary knowledge of fuzzy sets and possibility spaces which are required reading for the rest of this book. This chapter is included for the overall completeness of the book, but a few points (e.g. definition of conditional possibility and existence theorem of possibility space) may be new. Chapter 3 discusses how to calculate probist system reliability when the component reliabilities are represented by fuzzy numbers, and how to analyze fault trees when probabilities of basic events are fuzzy. Chapter 4 presents the basic theory of profust reliability, whereas Chapter 5 analyzes the profust reliability behavior of a number of engineering systems. Chapters 6 and 7 are devoted to probist reliability theory from two different perspectives. Chapter 8 discusses how to model software reliability behavior by using fuzzy methodology. Chapter 9 includes a number of mathematical problems which are raised by applications of fuzzy methodology in hardware and software reliability, but may be important for fuzzy set and possibility theories |
Beschreibung: | 1 Online-Ressource (XVII, 311 p) |
ISBN: | 9781461314035 |
DOI: | 10.1007/978-1-4613-1403-5 |
Internformat
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520 | |a Introduction to Fuzzy Reliability treats fuzzy methodology in hardware reliability and software reliability in a relatively systematic manner. The contents of this book are organized as follows. Chapter 1 places reliability engineering in the scope of a broader area, i.e. system failure engineering. Readers will find that although this book is confined to hardware and software reliability, it may be useful for other aspects of system failure engineering, like maintenance and quality control. Chapter 2 contains the elementary knowledge of fuzzy sets and possibility spaces which are required reading for the rest of this book. This chapter is included for the overall completeness of the book, but a few points (e.g. definition of conditional possibility and existence theorem of possibility space) may be new. Chapter 3 discusses how to calculate probist system reliability when the component reliabilities are represented by fuzzy numbers, and how to analyze fault trees when probabilities of basic events are fuzzy. Chapter 4 presents the basic theory of profust reliability, whereas Chapter 5 analyzes the profust reliability behavior of a number of engineering systems. Chapters 6 and 7 are devoted to probist reliability theory from two different perspectives. Chapter 8 discusses how to model software reliability behavior by using fuzzy methodology. Chapter 9 includes a number of mathematical problems which are raised by applications of fuzzy methodology in hardware and software reliability, but may be important for fuzzy set and possibility theories | ||
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author | Cai, Kai-Yuan |
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dewey-raw | 511.3 |
dewey-search | 511.3 |
dewey-sort | 3511.3 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
doi_str_mv | 10.1007/978-1-4613-1403-5 |
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isbn | 9781461314035 |
language | English |
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spelling | Cai, Kai-Yuan Verfasser aut Introduction to Fuzzy Reliability by Kai-Yuan Cai Boston, MA Springer US 1996 1 Online-Ressource (XVII, 311 p) txt rdacontent c rdamedia cr rdacarrier The Kluwer International Series in Engineering and Computer Science 363 Introduction to Fuzzy Reliability treats fuzzy methodology in hardware reliability and software reliability in a relatively systematic manner. The contents of this book are organized as follows. Chapter 1 places reliability engineering in the scope of a broader area, i.e. system failure engineering. Readers will find that although this book is confined to hardware and software reliability, it may be useful for other aspects of system failure engineering, like maintenance and quality control. Chapter 2 contains the elementary knowledge of fuzzy sets and possibility spaces which are required reading for the rest of this book. This chapter is included for the overall completeness of the book, but a few points (e.g. definition of conditional possibility and existence theorem of possibility space) may be new. Chapter 3 discusses how to calculate probist system reliability when the component reliabilities are represented by fuzzy numbers, and how to analyze fault trees when probabilities of basic events are fuzzy. Chapter 4 presents the basic theory of profust reliability, whereas Chapter 5 analyzes the profust reliability behavior of a number of engineering systems. Chapters 6 and 7 are devoted to probist reliability theory from two different perspectives. Chapter 8 discusses how to model software reliability behavior by using fuzzy methodology. Chapter 9 includes a number of mathematical problems which are raised by applications of fuzzy methodology in hardware and software reliability, but may be important for fuzzy set and possibility theories Mathematics Mathematical Logic and Foundations Software Engineering/Programming and Operating Systems Artificial Intelligence (incl. Robotics) Software engineering Artificial intelligence Mathematical logic Zuverlässigkeit (DE-588)4059245-5 gnd rswk-swf Software (DE-588)4055382-6 gnd rswk-swf Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf Software (DE-588)4055382-6 s Zuverlässigkeit (DE-588)4059245-5 s Fuzzy-Logik (DE-588)4341284-1 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9781461286080 https://doi.org/10.1007/978-1-4613-1403-5 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Cai, Kai-Yuan Introduction to Fuzzy Reliability Mathematics Mathematical Logic and Foundations Software Engineering/Programming and Operating Systems Artificial Intelligence (incl. Robotics) Software engineering Artificial intelligence Mathematical logic Zuverlässigkeit (DE-588)4059245-5 gnd Software (DE-588)4055382-6 gnd Fuzzy-Logik (DE-588)4341284-1 gnd |
subject_GND | (DE-588)4059245-5 (DE-588)4055382-6 (DE-588)4341284-1 |
title | Introduction to Fuzzy Reliability |
title_auth | Introduction to Fuzzy Reliability |
title_exact_search | Introduction to Fuzzy Reliability |
title_full | Introduction to Fuzzy Reliability by Kai-Yuan Cai |
title_fullStr | Introduction to Fuzzy Reliability by Kai-Yuan Cai |
title_full_unstemmed | Introduction to Fuzzy Reliability by Kai-Yuan Cai |
title_short | Introduction to Fuzzy Reliability |
title_sort | introduction to fuzzy reliability |
topic | Mathematics Mathematical Logic and Foundations Software Engineering/Programming and Operating Systems Artificial Intelligence (incl. Robotics) Software engineering Artificial intelligence Mathematical logic Zuverlässigkeit (DE-588)4059245-5 gnd Software (DE-588)4055382-6 gnd Fuzzy-Logik (DE-588)4341284-1 gnd |
topic_facet | Mathematics Mathematical Logic and Foundations Software Engineering/Programming and Operating Systems Artificial Intelligence (incl. Robotics) Software engineering Artificial intelligence Mathematical logic Zuverlässigkeit Software Fuzzy-Logik |
url | https://doi.org/10.1007/978-1-4613-1403-5 |
work_keys_str_mv | AT caikaiyuan introductiontofuzzyreliability |