UID:
almahu_9949599155402882
Umfang:
XXII, 344 p. 32 illus., 16 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2023.
ISBN:
9783031447426
Serie:
Studies in Computational Intelligence, 1121
Inhalt:
Authored by a leading expert in the field, this book introduces an innovative methodology that harnesses the power of fuzzy logic to enhance decision-making in multi-attribute scenarios. In a world of complexity and uncertainty, effective decision-making is paramount. Springer proudly presents a cutting-edge publication that revolutionizes decision analysis: "Fuzzy Decision Analysis: Multi-attribute Decision-Making Approach." This book stands at the forefront of decision analysis, introducing the integration of fuzzy logic into multi-attribute decision-making. It is a transformative journey into the realm of advanced decision analysis. It book not only equips you with the knowledge to comprehend the theoretical underpinnings but also empowers you to apply these insights in practical scenarios. This book serves as your indispensable companion. Its comprehensive coverage serves as a beacon, guiding you through the intricate maze of fuzzy logic and multi-attribute decision-making, ultimately empowering you to embrace innovation and master the art of making well-informed decisions in an ever-changing world.
Anmerkung:
Foundations of Decision -- Technique for Order Preferences by Similarity to Ideal Solutions (TOPSIS) in uncertainty environment -- The Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) in uncertainty environment -- The Multi-Objective Optimization Ratio Analysis (MOORA) in uncertainty environment.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031447419
Weitere Ausg.:
Printed edition: ISBN 9783031447433
Weitere Ausg.:
Printed edition: ISBN 9783031447440
Sprache:
Englisch
Fachgebiete:
Informatik
DOI:
10.1007/978-3-031-44742-6
URL:
https://doi.org/10.1007/978-3-031-44742-6
URL:
Volltext
(URL des Erstveröffentlichers)
