Reliability and Safety Analyses Under Fuzziness

ISBN-13: 9783790808377 / Angielski / Twarda / 1995 / 376 str.

Takehisa Onisawa; Janusz Kacprzyk

Opis

This study provides a comprehensive, up-to-date account on recent applications of fuzzy sets and possibility theory in reliability and safety analysis. It presents new tools for handling non-probabilistic aspects of uncertainty in these problems.

Spis treści

Introductory Sections.- Foundations of Reliability and Safety.- Brief Introduction to Fuzzy Sets.- Reliability and Safety Analyses under Fuzziness: General Issues.- System Reliability from the Viewpoint of Evaluation and Fuzzy Sets Theory Approach.- Issues in Possibilistic Reliability Theory.- Coherent Systems in Profust Reliability Theory.- The Usefulness of Complete Lattices in Reliability Theory.- Fault Tree Analysis Using Fuzzy Sets and Possibility Theory.- Multi State Fault Tree Analysis Using Fuzzy Probability Vectors and Resolution Identity.- Fuzzy Fault Tree Analysis : Case Studies.- Faes — Fault Analysis Expert System.- Life Time Analysis and Fuzzy Sets.- Reliability Estimation based on Fuzzy Life Time Data.- Lifetime Tests for Imprecise Data and Fuzzy Reliability Requirements.- Reliability and Quality Control in Engineering Systems.- Reliability Behavior of Combined Hardware-Software Systems.- An Application of Fuzzy Set Theory to Reliability Analysis.- Application of Fuzzy Relational Modelling to Industrial Product Quality Control.- An Application of Fuzzy Structural Modeling to Relation Diagram Method in Quality Control.- Reliability of Man-Machine Systems.- Human Reliability Analysis with Fuzzy Integral.- Fuzzy Reliabilty Analysis of Labour (Man-Machine) Systems.- Safety and Risk Analyses.- Risk Index and Application of Fuzzy Logic.- Risk-Based Ranking in Inspection of Industrial Facilities.- A Probabilistic-Fuzzy Model for Seismic Hazard.- Seismic Reliability Analysis of Existing Structures Based on Fuzzy Probability.- Combined Probability-Possibility Evaluation Theory for Structural Reliability.- Reliability Assessment Using Variance Reduction Techniques Based on Fuzzy System Performance.