Computing Statistics under Interval and Fuzzy Uncertainty Applications to Computer Science and Engineering /

• Κύριοι συγγραφείς: Nguyen, Hung T. (Συγγραφέας), Kreinovich, Vladik (Συγγραφέας), Wu, Berlin (Συγγραφέας), Xiang, Gang (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Σειρά: Studies in Computational Intelligence, 393
• Θέματα: Engineering.; Artificial intelligence.; Statistics.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

In many practical situations, we are interested in statistics characterizing a population of objects: e.g. in the mean height of people from a certain area.   Most algorithms for estimating such statistics assume that the sample values are exact. In practice, sample values come from measurements, an...

Πίνακας περιεχομένων:

• Part I Computing Statistics under Interval and Fuzzy Uncertainty: Formulation of the Problem and an Overview of General Techniques Which Can Be Used for Solving this Problem
• Part II Algorithms for Computing Statistics Under Interval and Fuzzy Uncertainty
• Part III Towards Computing Statistics under Interval and Fuzzy Uncertainty: Gauging the Quality of the Input Data
• Part IV Applications
• Part V Beyond Interval and Fuzzy Uncertainty.