We are improving our search experience. To check which content you have full access to, or for advanced search, go back to the old search.

Search

Please fill in this field.

Search Results

Showing 1-20 of 10,000 results
  1. Machine Shop I

    The queuing system in this chapter is shown in Fig. 11.1. This application was adopted from a problem in ([1], p.594). We continue this problem in...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  2. Inventory Control II

    This chapter continues the inventory control problem studied in the previous chapter. The new system is shown in Fig. 17.1. We have added two things...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  3. Project Network Model

    The project network diagram is in Fig. 26.1. This problem is modelled after an example in [2]. The project consists of various jobs that must be...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  4. Queuing II: No One-Step Calculations

    In this chapter we will study the fuzzy system shown in Fig. 5.1 now reproduced as Fig. 9.1. This example was adapted from an example in [1]. The...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  5. Priority Queues

    This chapter will use the queuing system in Chaps. 5 and 9, but with priority orders. The system is shown in Fig. 19.1. Everything is the same as in...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  6. Fuzzy Probability Theory

    In this chapter we look more closely at the fuzzy binomial distribution, the fuzzy Poisson, and at the fuzzy normal,exponential and uniform...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  7. Simulation

    Now we come to the point were we need to select simulation software to do all the crisp simulations staring in Chap. 7. The author is not an expert...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  8. Fuzzy Estimation

    sThe first thing to do is explain how we will get fuzzy numbers, and fuzzy probabilities, from a set of confidence intervals which will be...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  9. Simulation Optimization

    In this chapter we discuss how we plan to solve the optimization problems attached to the simulation as expressed in (5-4)-(5-5) in Chap. 5, or...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  10. Optimizing a Production Line

    The simple production line considered in this chapter is shown in Fig. 20.1. This problem has been adapted from an example in [1]. This situation is...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  11. Queuing I: One-Step Calculations

    In this chapter we show situations where simulation can produce the same results as fuzzy calculations which employ the extension principle. We argue...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  12. Simulation Programs

    In this chapter we present some of the GPSS programs used in Chaps. 9–26. We had to omit many programs in order to keep this chapter. less that 20...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  13. Summary and Conclusions

    The first objective of this book is to explain how many systems naturally become fuzzy systems. The second objective is to show how regular (crisp)...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  14. Virtual Reality in Healthcare

    In our modern 21st century, daily life would be unthinkable without computers. Multimedia and virtual reality are useful for people with special...
    Chapter
  15. Access to Information on Demand by the aid of Digital Talking Books

    This chapter addresses the concept and the fundamental ideas of the digital talking book (DTB), with a particular focus on DTBs in the DAISY format....
    Thomas Kjellberg Christensen, Margit Dühring in Intelligent Paradigms for Assistive and Preventive Healthcare
    Chapter
  16. 11 Random Vibrations of Large Finite Element Systems

    The basic idea for the computation of the stochastic response is based on the Karhunen-Loève expansion of the stochastic loading. For each Karhunen-...
    Christian A. Schenk, Gerhart I. Schuëller in Uncertainty Assessment of Large Finite Element Systems
    Chapter
  17. 4 Finite Element Method

    In this chapter, the fundamentals of the displacement-based finite element method are reiterated in a concise form, details can be found in a number...
    Christian A. Schenk, Gerhart I. Schuëller in Uncertainty Assessment of Large Finite Element Systems
    Chapter
  18. 5 Non-Linear Static Analysis

    The state of the art in the capability to predict the stability behavior of shell structures refers to areas such as asymptotic analysis [69] and...
    Christian A. Schenk, Gerhart I. Schuëller in Uncertainty Assessment of Large Finite Element Systems
    Chapter
  19. 7 Rational Treatment of Uncertainties

    Structural analysis up to this date, generally is still based on a deterministic conception. Observed variations in loading conditions, material...
    Christian A. Schenk, Gerhart I. Schuëller in Uncertainty Assessment of Large Finite Element Systems
    Chapter
  20. 9 Direct Monte Carlo Simulation

    The evaluation of the stochastic response by the Monte Carlo simulation technique is a powerful method for highly nonlinear systems as well as for...
    Christian A. Schenk, Gerhart I. Schuëller in Uncertainty Assessment of Large Finite Element Systems
    Chapter
Did you find what you were looking for? Share feedback.