Interval Computation as an Important Part of Granular Computing: An Introduction
Владик Крейнович · 2008
This chapter contains sections titled: Brief Outline Why Computations Are Needed in Practical Problems: A Brief Reminder In Real-Life Computations, We Need to Take Uncertainty into Account From Probabilistic to Interval Uncertainty: Case of Indirect Measurements Case of Expert Uncertainty Interval Computations Are Sometimes Easy but In General, They Are Computationally Difficult (NP-Hard) Maximum Entropy and Linearization: Useful Techniques for Solving Many Practical Cases of Interval Computations Problem, Their Advantages and Limitations Interval Computations: A Brief Historic Overview Interval Computations: Main Techniques Applications of Interval Computations Our Hopes Acknowledgments References