Evaluating Quality of Ziggurat of Ur Using Fuzzy Logic Concept | Applying Computer Programming to Fuzzy Models

Aous Al-Khalidi

ISBN 10: 3639215699 / ISBN 13: 9783639215694

Published by VDM Verlag Dr. Müller, 2009

About this Item

Evaluating Quality of Ziggurat of Ur Using Fuzzy Logic Concept | Applying Computer Programming to Fuzzy Models | Aous Al-Khalidi | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639215694 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 101415778

Bibliographic Details

• Title: Evaluating Quality of Ziggurat of Ur Using Fuzzy Logic Concept | Applying Computer Programming to Fuzzy Models
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2009
• Language: English
• ISBN 10: 3639215699
• ISBN 13: 9783639215694
• Binding: Taschenbuch
• Condition: Neu
• Seller catalogs:
  • Bücher

About this title

Synopsis

During the ancient civilizations many methods and techniques were used to build and construct structures, roads, bridges and buildings. Most of these methods and techniques are similar to what is being used nowadays. The significance of these methods and techniques is evaluated and estimated using linguistic expression specifically when dealing with ambiguous condition. These linguistic expressions are usually imprecise, yet extraordinarily useful. Using these imprecise expressions will make it difficult to apply mathematical calculations in order to conclude a crisp result with regard to project condition and structure quality. To avoid such difficulty, it is therefore essential to find a solution; that is the use of the concept of fuzzy logic and fuzzy set models. In using the fuzzy set models, it is applicable to manipulate certain expressions and transform them to numerical values on which mathematical calculations can be applied to acquire the consequences of variables and overall conclusion. This book presents and discusses three different fuzzy models: 1) The Angular Model, 2) The Translational Model, and 3) Triangular Model.