Fuzzy Hierarchical Model for Risk Assessment - Principles, Concepts, and Practical Applications (Paperback, 2013 ed.)

Risk management is often complicated by situational uncertainties and the subjective preferences of decision makers. Fuzzy Hierarchical Model for Risk Assessment introduces a fuzzy-based hierarchical approach to solve risk management problems considering both qualitative and quantitative criteria to tackle imprecise information. This approach is illustrated through number of case studies using examples from the food, fashion and electronics sectors to cover a range of applications including supply chain management, green product design and green initiatives. These practical examples explore how this method can be adapted and fine tuned to fit other industries as well. Supported by an extensive literature review, Fuzzy Hierarchical Model for Risk Assessment comprehensively introduces a new method for project managers across all industries as well as researchers in risk management. this area.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Release date:	May 2015
First published:	2013
Authors:	Hing Kai Chan • Xiaojun Wang
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Paperback
Pages:	169
Edition:	2013 ed.
ISBN-13:	978-1-4471-6074-8
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	1-4471-6074-6
Barcode:	9781447160748

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