Verwandte Artikel zu Intelligent Fuzzy Decision Making for Industrial Production...
Intelligent Fuzzy Decision Making for Industrial Production Planning: Intelligent Decision Making in an unpredictable uncertain Fuzzy Environment - Softcover
Inhaltsangabe
Any modern industrial manufacturing unit inevitably faces problems of vagueness in various aspects such as raw material availability, human resource availability, processing capability and constraints and limitations imposed by marketing department. This problem has to be solved by a methodology which takes care of such fuzzy information. As the analyst solves this problem, the decision maker and the implementer have to coordinate with the analyst for taking up a decision on a successful strategy for implementation. Such a complex problem of vagueness and uncertainty can be handled by the theory of fuzzy logic.In this book, a new fuzzy logic based methodology using a specific membership function, named as modified S-curve membership function is proposed. The modified S-curve membership function is first formulated and its flexibility in taking up vagueness in parameters is established by an analytical approach.The usefulness of this modified S-curve membership function is further established using a real life industrial production planning of a chocolate manufacturing unit.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
Any modern industrial manufacturing unit inevitably faces problems of vagueness in various aspects such as raw material availability, human resource availability, processing capability and constraints and limitations imposed by marketing department. This problem has to be solved by a methodology which takes care of such fuzzy information. As the analyst solves this problem, the decision maker and the implementer have to coordinate with the analyst for taking up a decision on a successful strategy for implementation. Such a complex problem of vagueness and uncertainty can be handled by the theory of fuzzy logic.In this book, a new fuzzy logic based methodology using a specific membership function, named as modified S-curve membership function is proposed. The modified S-curve membership function is first formulated and its flexibility in taking up vagueness in parameters is established by an analytical approach.The usefulness of this modified S-curve membership function is further established using a real life industrial production planning of a chocolate manufacturing unit.
Biografía del autor
Pandian Vasant is a Senior Lecturer of Engineering Mathematics for Electrical & Electronics Engineering Program and Fundamental & Applied Sciences Department at University Technology Petronas in Malaysia. Currently he's a managing editor for Global Journal Technology Optimization and organizing committee member for PCO Global conference.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagLAP LAMBERT Academic Publishing
- Erscheinungsdatum2011
- ISBN 10 3844320385
- ISBN 13 9783844320381
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten152
- Kontakt zum HerstellerNicht verfügbar
Neu kaufen
Diesen Artikel anzeigen
EUR 59,00
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerSuchergebnisse für Intelligent Fuzzy Decision Making for Industrial Production...
Foto des Verkäufers
Intelligent Fuzzy Decision Making for Industrial Production Planning
Verlag:
LAP LAMBERT Academic Publishing Mär 2011, 2011
ISBN 10: 3844320385
ISBN 13: 9783844320381
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -Any modern industrial manufacturing unit inevitably faces problems of vagueness in various aspects such as raw material availability, human resource availability, processing capability and constraints and limitations imposed by marketing department. This problem has to be solved by a methodology which takes care of such fuzzy information. As the analyst solves this problem, the decision maker and the implementer have to coordinate with the analyst for taking up a decision on a successful strategy for implementation. Such a complex problem of vagueness and uncertainty can be handled by the theory of fuzzy logic.In this book, a new fuzzy logic based methodology using a specific membership function, named as modified S-curve membership function is proposed. The modified S-curve membership function is first formulated and its flexibility in taking up vagueness in parameters is established by an analytical approach.The usefulness of this modified S-curve membership function is further established using a real life industrial production planning of a chocolate manufacturing unit.Books on Demand GmbH, Überseering 33, 22297 Hamburg 152 pp. Englisch. Artikel-Nr. 9783844320381
Anzahl: 2 verfügbar