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Celikyilmaz, Asli; Turksen, Burhan - Modeling Uncertainty with Fuzzy Logic - 9783540899235 - V9783540899235
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Modeling Uncertainty with Fuzzy Logic

€ 202.85
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Description for Modeling Uncertainty with Fuzzy Logic Hardback. This book presents an uncertainty modeling approach using a new type of fuzzy system model via "Fuzzy Functions". It also reviews standard tools of fuzzy system modeling approaches to demonstrate the novelty of the structurally different fuzzy function. Series: Studies in Fuzziness and Soft Computing. Num Pages: 400 pages, 134 black & white tables, biography. BIC Classification: UGC; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 25. Weight in Grams: 807.
The world we live in is pervaded with uncertainty and imprecision. Is it likely to rain this afternoon? Should I take an umbrella with me? Will I be able to find parking near the campus? Should I go by bus? Such simple questions are a c- mon occurrence in our daily lives. Less simple examples: What is the probability that the price of oil will rise sharply in the near future? Should I buy Chevron stock? What are the chances that a bailout of GM, Ford and Chrysler will not s- ceed? What will be the consequences? Note that the ... Read more

Product Details

Format
Hardback
Publication date
2009
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
400
Condition
New
Series
Studies in Fuzziness and Soft Computing
Number of Pages
400
Place of Publication
Berlin, Germany
ISBN
9783540899235
SKU
V9783540899235
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Modeling Uncertainty with Fuzzy Logic
From the reviews: “The present book has as goal the representation and utilization of uncertainty by means of fuzzy functions. … The book begins with a very good overview of the basic notions and principles related to fuzzy sets and systems … . The fuzzy models proposed in this book can be used with success by researchers from various ... Read more

Goodreads reviews for Modeling Uncertainty with Fuzzy Logic


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