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By
George Bojadziev and
Maria Bojadziev
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Jump down to see edition details for: Hardcover
Bibliographic Detail
Publisher
World Scientific Pub Co Inc
Publication date
December 1, 1997
Pages
232
Binding
Hardcover
Book category
Adult Non-Fiction
ISBN-13
9789810228941
ISBN-10
9810228945
Dimensions
0.75 by 6.25 by 9 in.
Weight
1 lbs.
Published in
Other
Original list price
$95.00
Summaries and Reviews
(view table of contents)
Amazon.com description: Product Description: This is an interdisciplinary book for knowledge workers in business, finance, management, and socio-economic sciences. It provides a guide to and techniques for forecasting, decision making, conclusions, and evaluations in an environment involving uncertainty, vagueness, and impression. Traditional modeling techniques do not capture the nature of complex systems especially when humans are involved. Fuzzy logic provides effective tools for dealing with such systems. Emphasis is on applications presented in case studies including Time Forecasting for Project Management, New Product Pricing, Client Financial Risk Tolerance Policy, Deviation and Potential Problem Analysis, Inventory Control Model, Stock Market Strategy.
Editions
Hardcover
2 edition from World Scientific Pub Co Inc (April 24, 2007)
9789812706492 | details & prices | 232 pages | 6.00 × 9.25 × 0.75 in. | 1.10 lbs | List price $145.00
About: This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic.
About: This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic.
The price comparison is for this edition
from World Scientific Pub Co Inc (December 1, 1997)
9789810228941 | details & prices | 232 pages | 6.25 × 9.00 × 0.75 in. | 1.00 lbs | List price $95.00
About: This is an interdisciplinary book for knowledge workers in business, finance, management, and socio-economic sciences.
About: This is an interdisciplinary book for knowledge workers in business, finance, management, and socio-economic sciences.
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