Mohlo by sa vám tiež páčiť

Viac informácií o knihe Rough Set-Based Classification Systems

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 249 bodov

Anotácia knihy

This book demonstrates an original concept for implementing the rough set theory in the construction of decision-making systems. It addresses three types of decisions, including those in which the information or input data is insufficient. Though decision-making and classification in cases with missing or inaccurate data is a common task, classical decision-making systems are not naturally adapted to it. One solution is to apply the rough set theory proposed by Prof. Pawlak. The proposed classifiers are applied and tested in two configurations: The first is an iterative mode in which a single classification system requests completion of the input data until an unequivocal decision (classification) is obtained. It allows us to start classification processes using very limited input data and supplementing it only as needed, which limits the cost of obtaining data. The second configuration is an ensemble mode in which several rough set-based classification systems achieve the unequivocal decision collectively, even though the systems cannot separately deliver such results.

Parametre knihy

• Celý názov: Rough Set-Based Classification Systems
• Autor: Robert K. Nowicki
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 188
• EAN: 9783030038946
• ID: 20392750
• Nakladateľ: Springer Nature Switzerland AG
• Hmotnosť: 477 g
• Rozmery: 235 × 155 × 17 mm
• Dátum vydania: 05. February 2019

Obľúbené z iného súdka

---

---

---