Evaluating Quality of Ziggurat of Ur Using Fuzzy Logic Concept and Fuzzy Logic Models

Bibliographic Details
Main Author:	Al-Khalidi, Aous Nahad
Language:	English
Published:	The Ohio State University / OhioLINK 2009
Subjects:	Civil Engineering
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=osu1244041809

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spelling	ndltd-OhioLink-oai-etd.ohiolink.edu-osu12440418092021-08-03T05:56:21Z Evaluating Quality of Ziggurat of Ur Using Fuzzy Logic Concept and Fuzzy Logic Models Al-Khalidi, Aous Nahad Civil Engineering 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, and unclearly defined, 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 thesis presents and discusses three different fuzzy models: 1) The Angular Model, 2) The Translational Model, and 3) Triangular Model. The three models discussed are illustrated using C-Sharp programming language for user-friendliness. Each of the developed models has its own unique calculation process and has its encompassed advantages. The reason behind illustrating three different models is to allow for preference and selection of different users so they can compare between the features of each model and make their own decision in using the model of their choice. These models are used to evaluate the overall quality of the ziggurat and to estimate the integrity of the of the construction process of the ziggurat.Furthermore, the thesis presents an illustration of an intelligent system. An intelligent system program is illustrated to find the quality of the Ziggurat of Ur (Zigg-Ex) via evaluating the reliability of two factors that affect the structure directly. This computer program suggested by the study can be used as an attempt to help evaluate the overall quality of the Ziggurat of Ur. 2009-09-08 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1244041809 http://rave.ohiolink.edu/etdc/view?acc_num=osu1244041809 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection	NDLTD
language	English
sources	NDLTD
topic	Civil Engineering
spellingShingle	Civil Engineering Al-Khalidi, Aous Nahad Evaluating Quality of Ziggurat of Ur Using Fuzzy Logic Concept and Fuzzy Logic Models
author	Al-Khalidi, Aous Nahad
author_facet	Al-Khalidi, Aous Nahad
author_sort	Al-Khalidi, Aous Nahad
title	Evaluating Quality of Ziggurat of Ur Using Fuzzy Logic Concept and Fuzzy Logic Models
title_short	Evaluating Quality of Ziggurat of Ur Using Fuzzy Logic Concept and Fuzzy Logic Models
title_full	Evaluating Quality of Ziggurat of Ur Using Fuzzy Logic Concept and Fuzzy Logic Models
title_fullStr	Evaluating Quality of Ziggurat of Ur Using Fuzzy Logic Concept and Fuzzy Logic Models
title_full_unstemmed	Evaluating Quality of Ziggurat of Ur Using Fuzzy Logic Concept and Fuzzy Logic Models
title_sort	evaluating quality of ziggurat of ur using fuzzy logic concept and fuzzy logic models
publisher	The Ohio State University / OhioLINK
publishDate	2009
url	http://rave.ohiolink.edu/etdc/view?acc_num=osu1244041809
work_keys_str_mv	AT alkhalidiaousnahad evaluatingqualityofzigguratofurusingfuzzylogicconceptandfuzzylogicmodels
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Evaluating Quality of Ziggurat of Ur Using Fuzzy Logic Concept and Fuzzy Logic Models

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