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Titlebook: Reliability and Safety Analyses under Fuzziness; Takehisa Onisawa,Janusz Kacprzyk Conference proceedings 1995 Springer-Verlag Berlin Heide

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Multi State Fault Tree Analysis Using Fuzzy Probability Vectors and Resolution Identity, are used to model the joint-possibility distribution of multistate elements. The use of resolution identity keeps the computational requirement at its minimum. However, the estimation procedure is based on Zadeh’s extension principle.
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Fuzzy Fault Tree Analysis : Case Studies of 15000 MT capacity atmospheric storage tank and nitric acid reactor. The case studies on fuzzy fault tree analysis using available interfailure statistics of process control instruments brings out its utility over the conventional probabilistic approach.
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Faes — Fault Analysis Expert Systemis paper we will describe a system that is capable of automating the knowledge acquisition process, translating that knowledge into a fully validated knowledge base, and using this knowledge base for fault detection.
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1434-9922 analysis, structural, seismic, safety, etc. are discussed. The book provides new tools for handling non-probabilistic aspects of uncertainty in these problems. It is the first in this field in the world literature.978-3-662-12913-5978-3-7908-1898-7Series ISSN 1434-9922 Series E-ISSN 1860-0808
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Brief Introduction to Fuzzy Setsasic elements and definitions, and to those which are relevant for the topics covered by this volume. First, the concept of a fuzzy set is presented as a formal means for dealing with the imprecision of meaning, caused mainly by the use of a natural language; such an imprecision is meant to be relat
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Issues in Possibilistic Reliability Theory of the classical approach. Our model is based upon a combination of multistate structure functions and possibility theory. In this paper, we present a congruence relation on the complete lattice of structure functions, that links several concepts of the theory of multistate structure functions and
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