Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Oktober 2010
Genre:	Schulbücher
	Application software / Applications of Mathematics / Applied mathematics / C / Computer Communication Networks / Computer communication systems / computer science / engineering / Engineering mathematics / Humanities and Social Sciences / Information Retrieval / Information Systems Applications (incl. Internet) / Information Systems Applications (incl.Internet) / Information technology# general issues / Interdisciplinary studies / Internet searching / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Maths for engineers / Network hardware / Popular Computer Science / Science, Humanities and Social Sciences, multidisciplinary
ISBN:	9783642055966
EAN-Code:	9783642055966
Verlag:	Springer Nature EN
Einband:	Kartoniert
Sprache:	English
Serie:	#135 - Studies in Fuzziness and Soft Computing
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	320 gr
Seiten:	190
Zus. Info:	Previously published in hardcover
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

1.1 Introduction This book is written in five major divisions. The first part is the introduc­ tory chapters consisting of Chapters 1-3. In part two, Chapters 4-10, we use fuzzy probabilities to model a fuzzy queuing system . We switch to employ­ ing fuzzy arrival rates and fuzzy service rates to model the fuzzy queuing system in part three in Chapters 11 and 12. Optimization models comprise part four in Chapters 13-17. The final part has a brief summary and sug­ gestions for future research in Chapter 18, and a summary of our numerical methods for calculating fuzzy probabilities, values of objective functions in fuzzy optimization, etc., is in Chapter 19. First we need to be familiar with fuzzy sets. All you need to know about fuzzy sets for this book comprises Chapter 2. Two other items relating to fuzzy sets, needed in Chapters 13-17, are also in Chapter 2: (1) how we plan to handle the maximum/minimum of a fuzzy set; and (2) how we will rank a finite collection of fuzzy numbers from smallest to largest.