# Introduction to Fuzzy Reliability by Professor Kai-Yuan Cai (auth.)

By Professor Kai-Yuan Cai (auth.)

Introduction to Fuzzy Reliability treats fuzzy method in reliability and software program reliability in a comparatively systematic demeanour. The contents of this ebook are equipped as follows. bankruptcy 1 locations reliability engineering within the scope of a broader zone, i.e. procedure failure engineering. Readers will locate that even though this e-book is limited to and software program reliability, it can be precious for different features of procedure failure engineering, like upkeep and quality controls. bankruptcy 2 comprises the undemanding wisdom of fuzzy units and hazard areas that are required analyzing for the remainder of this publication. This bankruptcy is incorporated for the general completeness of the publication, yet a number of issues (e.g. definition of conditional danger and lifestyles theorem of risk house) can be new. bankruptcy three discusses find out how to calculate probist method reliability while the part reliabilities are represented via fuzzy numbers, and the way to research fault timber while chances of simple occasions are fuzzy. bankruptcy four provides the elemental idea of profust reliability, while bankruptcy five analyzes the profust reliability habit of a couple of engineering platforms. Chapters 6 and seven are dedicated to probist reliability idea from diverse views. bankruptcy eight discusses the best way to version software program reliability habit by utilizing fuzzy method. bankruptcy nine incorporates a variety of mathematical difficulties that are raised by means of purposes of fuzzy method in and software program reliability, yet should be vital for fuzzy set and risk theories.

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Extra resources for Introduction to Fuzzy Reliability

Sample text

A straight way to do fuzzy probist FMEA is to treat both probabilities of failures and consequences of failure as fuzzy sets, and employ fuzzy techniques to extend conventional FMEA. In this way fuzzy assessments of (component) failure criticality can be obtained [60, 78, 79]. A more complicated situation is to consider interdependencies among various causes and effects. These interdependencies may be expressed in terms of a number of rules as follows [59] If CII and ... and C ln , then EI If C21 and··· and C 2n , then E2 If Cml and··· and C nm ' then Em where {Cij;i=l, ...

81. 82. 83. 84. 85. 86. 87. 88. 89. 90. 91. 92. 93. References Fuzziness, Physica-Verlag, 1995, pp2 I 7-229. 57, 1993, pp257-294. Gittus (eds), Implications of Probabilistic Risk Assessment, Elsevier Applied Science, 1987, pp253-274. Nowakowski, "Possibility Distributions in the Linguistic Theory of Actions", International Journal of Man-Machine Studies, Vol. 12, 1980, pp229-239. mital (eds), Applications of Fuzzy Set Theory in Human Factors, Elsevier, 1986, pp165-177. 27, 1988, pp87-103. 28, 1988, ppl15-127.

10. 11. 12. 13. 14. Zadeh (eds), Approximate Reasoning in Intelligent Systems, Decision and Control, Pergamon Press, 1988. 5, 1985, pp473-479. 1, 1984, ppI6-20. Proschan, Statistical Theory of Reliability and Life Testing: Probability Models, Holt, Rinbart and Winston, USA, 1975. 9, 1985, pp857-864. Pasquini, "Experimental Evaluation of a Fuzzy-Set Based Measure of Software Correctness Using Program Mutation", Proc. IEEE 15th International Conference on Software Engineering, 1993, pp45-54. Barlow (eds), Theory of Reliability, NorthHolland, 1986, pp321-378.