9410

8692

كارشناسي ارشد

معدن - اكتشاف معدن

اصفهان: دانشگاه صنعتي اصفهان، دانشكده معدن

1393

ده،89ص.: مصور،جدول،نمودار

ص.ع.به فارسي و انگليسي

نادر فتحيان پور، حسن طباطبايي

8/10/93

احمدرضا مختاري، رضا جعفري

مهندسي معدن

ID8692

IUT Degree Master of ScienceTitle Application of Fuzzy TOPSIS Method in improving the selection of favorable porphyryCopper mineralization zones in South Sarcheshmeh metallogenic ZoneAuthor Shokouh RiahiSupervisors Dr Nader Fathian Pour Dr Seyed Hassan TabatabaeiDepartment Mining EngineeringDate September 20 2014Language PersianAbstract Current study deals with detecting and ranking the promising regions in a mineralexploration project in order to achieve accurate and reliable results in addition to save energy time and money To achieve this goal two simple fast and cheap variants of multi criteriadecision making MCDM methods called Topsis and Fuzzy Topsis have been employed These MCDM methods are applied on the south and south east of Sarcheshmeh porphyrycopper deposit believed to have great potential of porphyry copper mineralizations So far anumber of prospects named Darehzar Sereydoon northern Sereydoon Koohpanj Dehsiyahan Bandare Baghoo Bande Mamzar and Goor ali Esmaeili has shown promising evidences ofporphyry mineralization in this region In the first step the promising prospects weredetermined through integrating all available exploratory data layers including geologicallithology and structures alterations derived out of remotely sensed imagery geochemical andgeophysical anomalies using Fuzzy logic and Weighted overlay methods in an GISenvironment Out of this stage a number of 20 prospects having at least 2 kilometers areawere selected via applying appropriate threshold based on their allocated rank order of fuzzyfavorability map Next the most relevant attributes of the selected promising prospects were selected andaveraged over the entire area of those 20 promising areas Then the decision making matriceswere computed using these average values over each selected prospect forming the rows of thefinal matrix having 6 criteria as its columns These were then inputted to the Topsis andFuzzy Topsis multi criteria decision making algorithms In the final processing stage the Topsis and Fuzzy Topsis algorithm were applied on inputmatrix to rank the order of best prospects in terms of similarities to porphyry coppermineralization Based on the final results the Darehzar prospect with maximum similarty coefficient to theideal porphyry mineralization ranked first followed by Sereydoon and north Sereydoonranking second and third best prospects respectively Comparing Topsis and Fuzzy Topsisresults show that both methods were capable of prioritizing the promising prospects howeverFuzzy Topsis gave better ranking order due to having less sensitivity to the noisy input datalayers and higher flexibility of weights assigned to the criteria The validity of the results were

نادر فتحيان پور، حسن طباطبايي

احمدرضا مختاري، رضا جعفري